All you need is a good init |
Dmytro Mishkin et al. |
2015-11-19 |
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation |
Di Xie et al. |
2017-03-06 |
Attention Is All You Need |
Ashish Vaswani et al. |
2017-06-12 |
CNN Is All You Need |
Qiming Chen et al. |
2017-12-27 |
Diversity is All You Need: Learning Skills without a Reward Function |
Benjamin Eysenbach et al. |
2018-02-16 |
MemGEN: Memory is All You Need |
Sylvain Gelly et al. |
2018-03-29 |
Cross-lingual Argumentation Mining: Machine Translation (and a bit of Projection) is All You Need! |
Steffen Eger et al. |
2018-07-24 |
All You Need is "Love": Evading Hate-speech Detection |
Tommi Gröndahl et al. |
2018-08-28 |
Bytes are All You Need: End-to-End Multilingual Speech Recognition and Synthesis with Bytes |
Bo Li et al. |
2018-11-22 |
Depthwise Convolution is All You Need for Learning Multiple Visual Domains |
Yunhui Guo et al. |
2019-02-03 |
CBOW Is Not All You Need: Combining CBOW with the Compositional Matrix Space Model |
Florian Mai et al. |
2019-02-18 |
All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification |
Weijie Chen et al. |
2019-03-13 |
ThumbNet: One Thumbnail Image Contains All You Need for Recognition |
Chen Zhao et al. |
2019-04-10 |
Focus Is All You Need: Loss Functions For Event-based Vision |
Guillermo Gallego et al. |
2019-04-15 |
Segmentation is All You Need |
Zehua Cheng et al. |
2019-04-30 |
Mixed Precision DNNs: All you need is a good parametrization |
Stefan Uhlich et al. |
2019-05-27 |
Attention Is (not) All You Need for Commonsense Reasoning |
Tassilo Klein et al. |
2019-05-31 |
Attention is all you need for Videos: Self-attention based Video Summarization using Universal Transformers |
Manjot Bilkhu et al. |
2019-06-06 |
One Epoch Is All You Need |
Aran Komatsuzaki |
2019-06-16 |
All You Need is Ratings: A Clustering Approach to Synthetic Rating Datasets Generation |
Diego Monti et al. |
2019-09-02 |
Is Fast Adaptation All You Need? |
Khurram Javed et al. |
2019-10-03 |
Attention Is All You Need for Chinese Word Segmentation |
Sufeng Duan et al. |
2019-10-31 |
Fast Transformer Decoding: One Write-Head is All You Need |
Noam Shazeer |
2019-11-06 |
All You Need Is Boundary: Toward Arbitrary-Shaped Text Spotting |
Hao Wang et al. |
2019-11-21 |
Breaking the cycle -- Colleagues are all you need |
Ori Nizan et al. |
2019-11-24 |
ASR is all you need: cross-modal distillation for lip reading |
Triantafyllos Afouras et al. |
2019-11-28 |
Prioritized Unit Propagation with Periodic Resetting is (Almost) All You Need for Random SAT Solving |
Xujie Si et al. |
2019-12-04 |
15 Keypoints Is All You Need |
Michael Snower et al. |
2019-12-05 |
All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs |
Negin Entezari et al. |
2020-01-22 |
Proving the Lottery Ticket Hypothesis: Pruning is All You Need |
Eran Malach et al. |
2020-02-03 |
ReZero is All You Need: Fast Convergence at Large Depth |
Thomas Bachlechner et al. |
2020-03-10 |
Rethinking Few-Shot Image Classification: a Good Embedding Is All You Need? |
Yonglong Tian et al. |
2020-03-25 |
All you need is a second look: Towards Tighter Arbitrary shape text detection |
Meng Cao et al. |
2020-04-26 |
Image Augmentation Is All You Need: Regularizing Deep Reinforcement Learning from Pixels |
Ilya Kostrikov et al. |
2020-04-28 |
Pre-training Is (Almost) All You Need: An Application to Commonsense Reasoning |
Alexandre Tamborrino et al. |
2020-04-29 |
Is MAP Decoding All You Need? The Inadequacy of the Mode in Neural Machine Translation |
Bryan Eikema et al. |
2020-05-20 |
DeeperGCN: All You Need to Train Deeper GCNs |
Guohao Li et al. |
2020-06-13 |
Logarithmic Pruning is All You Need |
Laurent Orseau et al. |
2020-06-22 |
Lipschitzness Is All You Need To Tame Off-policy Generative Adversarial Imitation Learning |
Lionel Blondé et al. |
2020-06-28 |
Data Movement Is All You Need: A Case Study on Optimizing Transformers |
Andrei Ivanov et al. |
2020-06-30 |
Hopfield Networks is All You Need |
Hubert Ramsauer et al. |
2020-07-16 |
A Lip Sync Expert Is All You Need for Speech to Lip Generation In The Wild |
K R Prajwal et al. |
2020-08-23 |
Against Membership Inference Attack: Pruning is All You Need |
Yijue Wang et al. |
2020-08-28 |
All You Need Is CONSTRUCT |
Dominique Duval et al. |
2020-10-02 |
Transcription Is All You Need: Learning to Separate Musical Mixtures with Score as Supervision |
Yun-Ning Hung et al. |
2020-10-22 |
Attention is All You Need in Speech Separation |
Cem Subakan et al. |
2020-10-25 |
One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL |
Saurabh Kumar et al. |
2020-10-27 |
Language Model is All You Need: Natural Language Understanding as Question Answering |
Mahdi Namazifar et al. |
2020-11-05 |
A Broad Dataset is All You Need for One-Shot Object Detection |
Claudio Michaelis et al. |
2020-11-09 |
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge? |
Christian Schroeder de Witt et al. |
2020-11-18 |
MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing |
Yuhang Li et al. |
2020-11-19 |
A Reputation Mechanism Is All You Need: Collaborative Fairness and Adversarial Robustness in Federated Learning |
Xinyi Xu et al. |
2020-11-20 |
All You Need is a Good Functional Prior for Bayesian Deep Learning |
Ba-Hien Tran et al. |
2020-11-25 |
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation |
Nan Tang et al. |
2020-12-04 |
Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? |
Malik Boudiaf et al. |
2020-12-11 |
Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning |
Amy X. Lu et al. |
2020-12-25 |
A Simple Fine-tuning Is All You Need: Towards Robust Deep Learning Via Adversarial Fine-tuning |
Ahmadreza Jeddi et al. |
2020-12-25 |
Is Space-Time Attention All You Need for Video Understanding? |
Gedas Bertasius et al. |
2021-02-09 |
All You Need is DAG |
Idit Keidar et al. |
2021-02-16 |
Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding |
Jing Zhu et al. |
2021-02-26 |
Attention is Not All You Need: Pure Attention Loses Rank Doubly Exponentially with Depth |
Yihe Dong et al. |
2021-03-05 |
GAN Vocoder: Multi-Resolution Discriminator Is All You Need |
Jaeseong You et al. |
2021-03-09 |
Partial Differential Equations is All You Need for Generating Neural Architectures -- A Theory for Physical Artificial Intelligence Systems |
Ping Guo et al. |
2021-03-10 |
More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval |
Ayan Kumar Bhunia et al. |
2021-03-25 |
Categorical Representation Learning: Morphism is All You Need |
Artan Sheshmani et al. |
2021-03-26 |
Not All Attention Is All You Need |
Hongqiu Wu et al. |
2021-04-10 |
Spatiotemporal Entropy Model is All You Need for Learned Video Compression |
Zhenhong Sun et al. |
2021-04-13 |
All you need are a few pixels: semantic segmentation with PixelPick |
Gyungin Shin et al. |
2021-04-13 |
Is Disentanglement all you need? Comparing Concept-based & Disentanglement Approaches |
Dmitry Kazhdan et al. |
2021-04-14 |
Cross-Attention is All You Need: Adapting Pretrained Transformers for Machine Translation |
Mozhdeh Gheini et al. |
2021-04-18 |
Looking at CTR Prediction Again: Is Attention All You Need? |
Yuan Cheng et al. |
2021-05-12 |
It^oTTS and It^oWave: Linear Stochastic Differential Equation Is All You Need For Audio Generation |
Shoule Wu et al. |
2021-05-17 |
Value Function is All You Need: A Unified Learning Framework for Ride Hailing Platforms |
Xiaocheng Tang et al. |
2021-05-18 |
Simple steps are all you need: Frank-Wolfe and generalized self-concordant functions |
Alejandro Carderera et al. |
2021-05-28 |
Three Sentences Are All You Need: Local Path Enhanced Document Relation Extraction |
Quzhe Huang et al. |
2021-06-03 |
Self-Supervision is All You Need for Solving Rubik's Cube |
Kyo Takano |
2021-06-06 |
Tabular Data: Deep Learning is Not All You Need |
Ravid Shwartz-Ziv et al. |
2021-06-06 |
Pretrained Encoders are All You Need |
Mina Khan et al. |
2021-06-09 |
Transductive Few-Shot Learning: Clustering is All You Need? |
Imtiaz Masud Ziko et al. |
2021-06-16 |
Clinically relevant pretraining is all you need |
Oliver J. Bear Don't Walk IV et al. |
2021-06-21 |
All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection |
Meng Cao et al. |
2021-06-24 |
Mutation is all you need |
Lennart Schneider et al. |
2021-07-04 |
Hoechst Is All You Need: Lymphocyte Classification with Deep Learning |
Jessica Cooper et al. |
2021-07-09 |
A Configurable Multilingual Model is All You Need to Recognize All Languages |
Long Zhou et al. |
2021-07-13 |
Per-Pixel Classification is Not All You Need for Semantic Segmentation |
Bowen Cheng et al. |
2021-07-13 |
DNN is not all you need: Parallelizing Non-Neural ML Algorithms on Ultra-Low-Power IoT Processors |
Enrico Tabanelli et al. |
2021-07-16 |
Is attention to bounding boxes all you need for pedestrian action prediction? |
Lina Achaji et al. |
2021-07-16 |
Few Shots Are All You Need: A Progressive Few Shot Learning Approach for Low Resource Handwritten Text Recognition |
Mohamed Ali Souibgui et al. |
2021-07-21 |
Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning |
Wenbin Li et al. |
2021-07-22 |
SphereFace2: Binary Classification is All You Need for Deep Face Recognition |
Yandong Wen et al. |
2021-08-03 |
Pose is all you need: The pose only group activity recognition system (POGARS) |
Haritha Thilakarathne et al. |
2021-08-09 |
A good body is all you need: avoiding catastrophic interference via agent architecture search |
Joshua Powers et al. |
2021-08-18 |
Fastformer: Additive Attention Can Be All You Need |
Chuhan Wu et al. |
2021-08-20 |
All You Need is Color: Image based Spatial Gene Expression Prediction using Neural Stain Learning |
Muhammad Dawood et al. |
2021-08-23 |
Photos Are All You Need for Reciprocal Recommendation in Online Dating |
James Neve et al. |
2021-08-26 |
Neural HMMs are all you need (for high-quality attention-free TTS) |
Shivam Mehta et al. |
2021-08-30 |
Mask is All You Need: Rethinking Mask R-CNN for Dense and Arbitrary-Shaped Scene Text Detection |
Xugong Qin et al. |
2021-09-08 |
WeakSTIL: Weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need |
Yoni Schirris et al. |
2021-09-13 |
Attention Is Indeed All You Need: Semantically Attention-Guided Decoding for Data-to-Text NLG |
Juraj Juraska et al. |
2021-09-15 |
Torch.manual_seed(3407) is all you need: On the influence of random seeds in deep learning architectures for computer vision |
David Picard |
2021-09-16 |
Is Curiosity All You Need? On the Utility of Emergent Behaviours from Curious Exploration |
Oliver Groth et al. |
2021-09-17 |
One Timestep is All You Need: Training Spiking Neural Networks with Ultra Low Latency |
Sayeed Shafayet Chowdhury et al. |
2021-10-01 |
Attention is All You Need? Good Embeddings with Statistics are enough:Large Scale Audio Understanding without Transformers/ Convolutions/ BERTs/ Mixers/ Attention/ RNNs or .... |
Prateek Verma |
2021-10-07 |
Open-Set Recognition: a Good Closed-Set Classifier is All You Need? |
Sagar Vaze et al. |
2021-10-12 |
Jurassic is (almost) All You Need: Few-Shot Meaning-to-Text Generation for Open-Domain Dialogue |
Lena Reed et al. |
2021-10-15 |
Hyperparameter Tuning is All You Need for LISTA |
Xiaohan Chen et al. |
2021-10-29 |
Is Bang-Bang Control All You Need? Solving Continuous Control with Bernoulli Policies |
Tim Seyde et al. |
2021-11-03 |
Realizable Learning is All You Need |
Max Hopkins et al. |
2021-11-08 |
Gradients are Not All You Need |
Luke Metz et al. |
2021-11-10 |
Perceiving and Modeling Density is All You Need for Image Dehazing |
Tian Ye et al. |
2021-11-18 |
Variance Reduction in Deep Learning: More Momentum is All You Need |
Lionel Tondji et al. |
2021-11-23 |
CDNet is all you need: Cascade DCN based underwater object detection RCNN |
Di Chang |
2021-11-25 |
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines |
Yuxuan Zhang et al. |
2021-12-16 |
Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning |
Josh Myers-Dean et al. |
2021-12-21 |
Cost Aggregation Is All You Need for Few-Shot Segmentation |
Sunghwan Hong et al. |
2021-12-22 |
ML4CO: Is GCNN All You Need? Graph Convolutional Neural Networks Produce Strong Baselines For Combinatorial Optimization Problems, If Tuned and Trained Properly, on Appropriate Data |
Amin Banitalebi-Dehkordi et al. |
2021-12-22 |
Revisiting Transformation Invariant Geometric Deep Learning: Are Initial Representations All You Need? |
Ziwei Zhang et al. |
2021-12-23 |
All You Need In Sign Language Production |
Razieh Rastgoo et al. |
2022-01-05 |
Universal Online Learning with Unbounded Losses: Memory Is All You Need |
Moise Blanchard et al. |
2022-01-21 |
Patches Are All You Need? |
Asher Trockman et al. |
2022-01-24 |
It^oWave: It^o Stochastic Differential Equation Is All You Need For Wave Generation |
Shoule Wu et al. |
2022-01-29 |
One-Nearest-Neighbor Search is All You Need for Minimax Optimal Regression and Classification |
J. Jon Ryu et al. |
2022-02-05 |
Distillation with Contrast is All You Need for Self-Supervised Point Cloud Representation Learning |
Kexue Fu et al. |
2022-02-09 |
1-WL Expressiveness Is (Almost) All You Need |
Markus Zopf |
2022-02-21 |
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL |
Kai Arulkumaran et al. |
2022-02-24 |
Filter-enhanced MLP is All You Need for Sequential Recommendation |
Kun Zhou et al. |
2022-02-28 |
One Model is All You Need: Multi-Task Learning Enables Simultaneous Histology Image Segmentation and Classification |
Simon Graham et al. |
2022-02-28 |
Video is All You Need: Attacking PPG-based Biometric Authentication |
Lin Li et al. |
2022-03-02 |
Structured Pruning is All You Need for Pruning CNNs at Initialization |
Yaohui Cai et al. |
2022-03-04 |
All You Need is LUV: Unsupervised Collection of Labeled Images using Invisible UV Fluorescent Indicators |
Brijen Thananjeyan et al. |
2022-03-09 |
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection |
Eliahu Horwitz et al. |
2022-03-10 |
Respecting causality is all you need for training physics-informed neural networks |
Sifan Wang et al. |
2022-03-14 |
Distraction is All You Need for Fairness |
Mehdi Yazdani-Jahromi et al. |
2022-03-15 |
Neural Vocoder is All You Need for Speech Super-resolution |
Haohe Liu et al. |
2022-03-28 |
A 23 MW data centre is all you need |
Samuel Albanie et al. |
2022-03-31 |
TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization |
Sijie Zhu et al. |
2022-03-31 |
Overlapping Word Removal is All You Need: Revisiting Data Imbalance in Hope Speech Detection |
Hariharan RamakrishnaIyer LekshmiAmmal et al. |
2022-04-12 |
A for-loop is all you need. For solving the inverse problem in the case of personalized tumor growth modeling |
Ivan Ezhov et al. |
2022-05-09 |
Need is All You Need: Homeostatic Neural Networks Adapt to Concept Shift |
Kingson Man et al. |
2022-05-17 |
Positional Information is All You Need: A Novel Pipeline for Self-Supervised SVDE from Videos |
Juan Luis Gonzalez Bello et al. |
2022-05-18 |
Sampling Is All You Need on Modeling Long-Term User Behaviors for CTR Prediction |
Yue Cao et al. |
2022-05-20 |
All You Need Is Logs: Improving Code Completion by Learning from Anonymous IDE Usage Logs |
Vitaliy Bibaev et al. |
2022-05-21 |
Pretraining is All You Need for Image-to-Image Translation |
Tengfei Wang et al. |
2022-05-25 |
GMML is All you Need |
Sara Atito et al. |
2022-05-30 |
Is More Data All You Need? A Causal Exploration |
Athanasios Vlontzos et al. |
2022-06-06 |
Words are all you need? Language as an approximation for human similarity judgments |
Raja Marjieh et al. |
2022-06-08 |
A smile is all you need: Predicting limiting activity coefficients from SMILES with natural language processing |
Benedikt Winter et al. |
2022-06-15 |
All you need is feedback: Communication with block attention feedback codes |
Emre Ozfatura et al. |
2022-06-19 |
Questions Are All You Need to Train a Dense Passage Retriever |
Devendra Singh Sachan et al. |
2022-06-21 |
Rethinking Surgical Instrument Segmentation: A Background Image Can Be All You Need |
An Wang et al. |
2022-06-23 |
CV 3315 Is All You Need : Semantic Segmentation Competition |
Akide Liu et al. |
2022-06-25 |
Computer-assisted Pronunciation Training -- Speech synthesis is almost all you need |
Daniel Korzekwa et al. |
2022-07-02 |
Is a PET all you need? A multi-modal study for Alzheimer's disease using 3D CNNs |
Marla Narazani et al. |
2022-07-05 |
Look-ups are not (yet) all you need for deep learning inference |
Calvin McCarter et al. |
2022-07-12 |
PointNorm: Dual Normalization is All You Need for Point Cloud Analysis |
Shen Zheng et al. |
2022-07-13 |
All you need for horizontal slicing in 5G network |
Hamza Kheddar et al. |
2022-07-23 |
Is GPT-3 all you need for Visual Question Answering in Cultural Heritage? |
Pietro Bongini et al. |
2022-07-25 |
Reduction Rules and ILP Are All You Need: Minimal Directed Feedback Vertex Set |
Alex Meiburg |
2022-08-01 |
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition |
Neel Trivedi et al. |
2022-08-11 |
Dropout is NOT All You Need to Prevent Gradient Leakage |
Daniel Scheliga et al. |
2022-08-12 |
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning |
Ashish Gupta et al. |
2022-08-14 |
Pseudo-Labels Are All You Need |
Bogdan Kostić et al. |
2022-08-19 |
Are disentangled representations all you need to build speaker anonymization systems? |
Pierre Champion et al. |
2022-08-22 |
Extending nnU-Net is all you need |
Fabian Isensee et al. |
2022-08-23 |
Multi-Outputs Is All You Need For Deblur |
Sidun Liu et al. |
2022-08-27 |
Rethinking Conversational Recommendations: Is Decision Tree All You Need? |
A S M Ahsan-Ul Haque et al. |
2022-08-31 |
Paraphrasing Is All You Need for Novel Object Captioning |
Cheng-Fu Yang et al. |
2022-09-25 |
Sentiment is all you need to win US Presidential elections |
Sovesh Mohapatra et al. |
2022-09-27 |
Combining Efficient and Precise Sign Language Recognition: Good pose estimation library is all you need |
Matyáš Boháček et al. |
2022-09-30 |
Centerpoints Are All You Need in Overhead Imagery |
James Mason Inder et al. |
2022-10-04 |
Depth Is All You Need for Monocular 3D Detection |
Dennis Park et al. |
2022-10-05 |
A ResNet is All You Need? Modeling A Strong Baseline for Detecting Referable Diabetic Retinopathy in Fundus Images |
Tomás Castilla et al. |
2022-10-06 |
GraspCaps: Capsule Networks Are All You Need for Grasping Familiar Objects |
Tomas van der Velde et al. |
2022-10-07 |
Is margin all you need? An extensive empirical study of active learning on tabular data |
Dara Bahri et al. |
2022-10-07 |
Certified Training: Small Boxes are All You Need |
Mark Niklas Müller et al. |
2022-10-10 |
Microscopy is All You Need |
Sergei V. Kalinin et al. |
2022-10-12 |
H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection |
Xue Yang et al. |
2022-10-13 |
Bag All You Need: Learning a Generalizable Bagging Strategy for Heterogeneous Objects |
Arpit Bahety et al. |
2022-10-18 |
10 hours data is all you need |
Zeping Min et al. |
2022-10-24 |
Saliency Can Be All You Need In Contrastive Self-Supervised Learning |
Veysel Kocaman et al. |
2022-10-30 |
Cross-Attention is all you need: Real-Time Streaming Transformers for Personalised Speech Enhancement |
Shucong Zhang et al. |
2022-11-08 |
NoiSER: Noise is All You Need for Low-Light Image Enhancement |
Zhao Zhang et al. |
2022-11-09 |
Secure Aggregation Is Not All You Need: Mitigating Privacy Attacks with Noise Tolerance in Federated Learning |
John Reuben Gilbert |
2022-11-10 |
Imagination is All You Need! Curved Contrastive Learning for Abstract Sequence Modeling Utilized on Long Short-Term Dialogue Planning |
Justus-Jonas Erker et al. |
2022-11-14 |
Is Style All You Need? Dependencies Between Emotion and GST-based Speaker Recognition |
Morgan Sandler et al. |
2022-11-15 |
Tired of Over-smoothing? Stress Graph Drawing Is All You Need! |
Xue Li et al. |
2022-11-19 |
One Eye is All You Need: Lightweight Ensembles for Gaze Estimation with Single Encoders |
Rishi Athavale et al. |
2022-11-22 |
Is Conditional Generative Modeling all you need for Decision-Making? |
Anurag Ajay et al. |
2022-11-28 |
Out-Of-Distribution Detection Is Not All You Need |
Joris Guérin et al. |
2022-11-29 |
All You Need Is Hashing: Defending Against Data Reconstruction Attack in Vertical Federated Learning |
Pengyu Qiu et al. |
2022-12-01 |
Are Straight-Through gradients and Soft-Thresholding all you need for Sparse Training? |
Antoine Vanderschueren et al. |
2022-12-02 |
MIMO Is All You Need : A Strong Multi-In-Multi-Out Baseline for Video Prediction |
Shuliang Ning et al. |
2022-12-09 |
Pixel is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection |
Zhenyu Wu et al. |
2022-12-13 |
Fine-Tuning Is All You Need to Mitigate Backdoor Attacks |
Zeyang Sha et al. |
2022-12-18 |
Hoyer regularizer is all you need for ultra low-latency spiking neural networks |
Gourav Datta et al. |
2022-12-20 |
In-Sensor & Neuromorphic Computing are all you need for Energy Efficient Computer Vision |
Gourav Datta et al. |
2022-12-21 |
ChatGPT is not all you need. A State of the Art Review of large Generative AI models |
Roberto Gozalo-Brizuela et al. |
2023-01-11 |
Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need |
Jingyao Li et al. |
2023-02-06 |
Conformers are All You Need for Visual Speech Recogntion |
Oscar Chang et al. |
2023-02-17 |
Are Gaussian data all you need? Extents and limits of universality in high-dimensional generalized linear estimation |
Luca Pesce et al. |
2023-02-17 |
Temporal Interpolation Is All You Need for Dynamic Neural Radiance Fields |
Sungheon Park et al. |
2023-02-18 |
EuroCrops: All you need to know about the Largest Harmonised Open Crop Dataset Across the European Union |
Maja Schneider et al. |
2023-02-20 |
Some Might Say All You Need Is Sum |
Eran Rosenbluth et al. |
2023-02-22 |
Language Is Not All You Need: Aligning Perception with Language Models |
Shaohan Huang et al. |
2023-02-27 |
A Little Bit Attention Is All You Need for Person Re-Identification |
Markus Eisenbach et al. |
2023-02-28 |
Zyxin is all you need: machine learning adherent cell mechanics |
Matthew S. Schmitt et al. |
2023-03-01 |
Image Labels Are All You Need for Coarse Seagrass Segmentation |
Scarlett Raine et al. |
2023-03-02 |
From Visual Prompt Learning to Zero-Shot Transfer: Mapping Is All You Need |
Ziqing Yang et al. |
2023-03-09 |
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need |
Da-Wei Zhou et al. |
2023-03-13 |
One scalar is all you need -- absolute depth estimation using monocular self-supervision |
Alexandra Dana et al. |
2023-03-14 |
Good Neighbors Are All You Need for Chinese Grapheme-to-Phoneme Conversion |
Jungjun Kim et al. |
2023-03-14 |
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis |
Renrui Zhang et al. |
2023-03-14 |
HE is all you need: Compressing FHE Ciphertexts using Additive HE |
Rasoul Akhavan Mahdavi et al. |
2023-03-16 |
Is Prompt All You Need? No. A Comprehensive and Broader View of Instruction Learning |
Renze Lou et al. |
2023-03-18 |
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need? |
Chaoning Zhang et al. |
2023-03-21 |
Text is All You Need: Personalizing ASR Models using Controllable Speech Synthesis |
Karren Yang et al. |
2023-03-27 |
Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need |
Vivien Cabannes et al. |
2023-03-27 |
Polarity is all you need to learn and transfer faster |
Qingyang Wang et al. |
2023-03-29 |
All You Need Is Sex for Diversity |
José Maria Simões et al. |
2023-03-30 |
Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network |
Chinmay Rane et al. |
2023-03-30 |
Few-shot Fine-tuning is All You Need for Source-free Domain Adaptation |
Suho Lee et al. |
2023-04-03 |
Astroformer: More Data Might not be all you need for Classification |
Rishit Dagli |
2023-04-03 |
Effective control of two-dimensional Rayleigh--B'enard convection: invariant multi-agent reinforcement learning is all you need |
Colin Vignon et al. |
2023-04-05 |
Retention Is All You Need |
Karishma Mohiuddin et al. |
2023-04-06 |
Attention: Marginal Probability is All You Need? |
Ryan Singh et al. |
2023-04-07 |
ChatGPT is all you need to decolonize sub-Saharan Vocational Education |
Isidora Tourni et al. |
2023-04-11 |
Are Local Features All You Need for Cross-Domain Visual Place Recognition? |
Giovanni Barbarani et al. |
2023-04-12 |
[CLS] Token is All You Need for Zero-Shot Semantic Segmentation |
Letian Wu et al. |
2023-04-13 |
Are LLMs All You Need for Task-Oriented Dialogue? |
Vojtěch Hudeček et al. |
2023-04-13 |
Speed Is All You Need: On-Device Acceleration of Large Diffusion Models via GPU-Aware Optimizations |
Yu-Hui Chen et al. |
2023-04-21 |
Is a prompt and a few samples all you need? Using GPT-4 for data augmentation in low-resource classification tasks |
Anders Giovanni Møller et al. |
2023-04-26 |
Appropriateness is all you need! |
Hendrik Kempt et al. |
2023-04-27 |
Stars Are All You Need: A Distantly Supervised Pyramid Network for Document-Level End-to-End Sentiment Analysis |
Wenchang Li et al. |
2023-05-02 |
Recursions Are All You Need: Towards Efficient Deep Unfolding Networks |
Rawwad Alhejaili et al. |
2023-05-09 |
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification |
Mauricio Mendez-Ruiz et al. |
2023-05-15 |
Cooperation Is All You Need |
Ahsan Adeel et al. |
2023-05-16 |
PDP: Parameter-free Differentiable Pruning is All You Need |
Minsik Cho et al. |
2023-05-18 |
Conditional Generative Modeling is All You Need for Marked Temporal Point Processes |
Zheng Dong et al. |
2023-05-21 |
Text Is All You Need: Learning Language Representations for Sequential Recommendation |
Jiacheng Li et al. |
2023-05-23 |
Bytes Are All You Need: Transformers Operating Directly On File Bytes |
Maxwell Horton et al. |
2023-05-31 |
RITA: Group Attention is All You Need for Timeseries Analytics |
Jiaming Liang et al. |
2023-06-02 |
Prompting Is All You Need: Automated Android Bug Replay with Large Language Models |
Sidong Feng et al. |
2023-06-03 |
A Grasp Pose is All You Need: Learning Multi-fingered Grasping with Deep Reinforcement Learning from Vision and Touch |
Federico Ceola et al. |
2023-06-06 |
Attention, Compilation, and Solver-based Symbolic Analysis are All You Need |
Prithwish Jana et al. |
2023-06-11 |
Small Temperature is All You Need for Differentiable Architecture Search |
Jiuling Zhang et al. |
2023-06-12 |
Require Process Control? LSTMc is all you need! |
Niranjan Sitapure et al. |
2023-06-13 |
Area is all you need: repeatable elements make stronger adversarial attacks |
Dillon Niederhut |
2023-06-13 |
Contrastive Loss is All You Need to Recover Analogies as Parallel Lines |
Narutatsu Ri et al. |
2023-06-14 |
A9 Intersection Dataset: All You Need for Urban 3D Camera-LiDAR Roadside Perception |
Walter Zimmer et al. |
2023-06-15 |
Gradient is All You Need? |
Konstantin Riedl et al. |
2023-06-16 |
Textbooks Are All You Need |
Suriya Gunasekar et al. |
2023-06-20 |
Randomized Quantization is All You Need for Differential Privacy in Federated Learning |
Yeojoon Youn et al. |
2023-06-20 |
Cross-Validation Is All You Need: A Statistical Approach To Label Noise Estimation |
Jianan Chen et al. |
2023-06-24 |
ParameterNet: Parameters Are All You Need for Large-scale Visual Pretraining of Mobile Networks |
Kai Han et al. |
2023-06-26 |
Positive Label Is All You Need for Multi-Label Classification |
Zhixiang Yuan et al. |
2023-06-28 |
One Copy Is All You Need: Resource-Efficient Streaming of Medical Imaging Data at Scale |
Pranav Kulkarni et al. |
2023-07-01 |
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data |
Florent Guépin et al. |
2023-07-04 |
Pretraining is All You Need: A Multi-Atlas Enhanced Transformer Framework for Autism Spectrum Disorder Classification |
Lucas Mahler et al. |
2023-07-04 |
Rethinking Multiple Instance Learning for Whole Slide Image Classification: A Good Instance Classifier is All You Need |
Linhao Qu et al. |
2023-07-05 |
Contrast Is All You Need |
Burak Kilic et al. |
2023-07-06 |
Copy Is All You Need |
Tian Lan et al. |
2023-07-13 |
Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training |
Yao Wei et al. |
2023-07-16 |
Feedback is All You Need: Real-World Reinforcement Learning with Approximate Physics-Based Models |
Tyler Westenbroek et al. |
2023-07-16 |
Is attention all you need in medical image analysis? A review |
Giorgos Papanastasiou et al. |
2023-07-24 |
Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization? |
Romain Egele et al. |
2023-07-28 |
Separate Scene Text Detector for Unseen Scripts is Not All You Need |
Prateek Keserwani et al. |
2023-07-29 |
Graph Structure from Point Clouds: Geometric Attention is All You Need |
Daniel Murnane |
2023-07-31 |
Scaling may be all you need for achieving human-level object recognition capacity with human-like visual experience |
A. Emin Orhan |
2023-08-07 |
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training |
Jianshuo Dong et al. |
2023-08-12 |
Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection |
Haichao Zhang et al. |
2023-08-13 |
Global Features are All You Need for Image Retrieval and Reranking |
Shihao Shao et al. |
2023-08-14 |
Attention Is Not All You Need Anymore |
Zhe Chen |
2023-08-15 |
Dynamic Neural Network is All You Need: Understanding the Robustness of Dynamic Mechanisms in Neural Networks |
Mirazul Haque et al. |
2023-08-17 |
Scope is all you need: Transforming LLMs for HPC Code |
Tal Kadosh et al. |
2023-08-18 |
Normalization Is All You Need: Understanding Layer-Normalized Federated Learning under Extreme Label Shift |
Guojun Zhang et al. |
2023-08-18 |
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse |
Ozge Mercanoglu Sincan et al. |
2023-08-18 |
Learning from A Single Graph is All You Need for Near-Shortest Path Routing in Wireless Networks |
Yung-Fu Chen et al. |
2023-08-18 |
Minimalist Traffic Prediction: Linear Layer Is All You Need |
Wenying Duan et al. |
2023-08-20 |
GaitPT: Skeletons Are All You Need For Gait Recognition |
Andy Catruna et al. |
2023-08-21 |
Patch Is Not All You Need |
Changzhen Li et al. |
2023-08-21 |