Conference-code: A repository from marlin-github

60.BinaryDuo: Reducing Gradient Mismatch in Binary Activation Network by Coupling Binary Activations

Paper adress：https://openreview.net/forum?id=r1x0lxrFPS

Paper code：https://github.com/Hyungjun-K1m/BinaryDuo

59.BayesOpt Adversarial Attack

Paper adress：https://openreview.net/forum?id=Hkem-lrtvH

Paper code：https://github.com/rubinxin/BayesOpt_Attack

58.RaPP: Novelty Detection with Reconstruction along Projection Pathway

Paper adress：https://openreview.net/forum?id=HkgeGeBYDB

Paper code：https://drive.google.com/drive/folders/1sknl_i4zmvSsPYZdzYxbg66ZSYDZ_abg?usp=sharing

57.Dynamics-Aware Embeddings

Paper adress：https://openreview.net/forum?id=BJgZGeHFPH

Paper code：https://github.com/dyne-submission/dynamics-aware-embeddings

56.AdvectiveNet: An Eulerian-Lagrangian Fluidic Reservoir for Point Cloud Processing

Paper adress：https://openreview.net/forum?id=H1eqQeHFDS

Paper code： https://github.com/DIUDIUDIUDIUDIU/AdvectiveNet-An-Eulerian-Lagrangian-Fluidic-Reservoir-for-Point-Cloud-Processing

55.AtomNAS: Fine-Grained End-to-End Neural Architecture Search

Paper adress：https://openreview.net/forum?id=BylQSxHFwr

Paper code：https://github.com/meijieru/AtomNAS

54.Deep Audio Priors Emerge From Harmonic Convolutional Networks

Paper adress：https://openreview.net/forum?id=rygjHxrYDB

Paper code：http://dap.csail.mit.edu/

53.Expected Information Maximization: Using the I-Projection for Mixture Density Estimation

Paper adress：https://openreview.net/forum?id=ByglLlHFDS

Paper code：https://github.com/pbecker93/ExpectedInformationMaximization

52.A Meta-Transfer Objective for Learning to Disentangle Causal Mechanisms

Paper adress：https://openreview.net/forum?id=ryxWIgBFPS

Paper code：https://github.com/ec6dde01667145e58de60f864e05a4/CausalOptimizationAnon

51.Latent Normalizing Flows for Many-to-Many Cross-Domain Mappings

Paper adress：https://openreview.net/forum?id=SJxE8erKDH

Paper code：https://drive.google.com/file/d/15orWOM0WowN4OevkHstx600TgNtAXGcp/view?usp=sharing

50.Compositional Language Continual Learning

Paper adress：https://openreview.net/forum?id=rklnDgHtDS

Paper code：https://github.com/yli1/CLCL

49.Lipschitz constant estimation of Neural Networks via sparse polynomial optimization

Paper adress：https://openreview.net/forum?id=rJe4_xSFDB

Paper code：https://drive.google.com/drive/folders/1bkj0H6Thgd9sjRloyq9NBP0uO0v704E9?usp=sharing

48.Unrestricted Adversarial Examples via Semantic Manipulation

Paper adress：https://openreview.net/forum?id=Sye_OgHFwH

Paper code：https://www.dropbox.com/s/69zx437t1dgo41b/semantic_attack_code.zip?dl=0

47.DiffTaichi: Differentiable Programming for Physical Simulation

Paper adress：https://openreview.net/forum?id=B1eB5xSFvr

Paper code：https://github.com/yuanming-hu/difftaichi

46.Sub-policy Adaptation for Hierarchical Reinforcement Learning

Paper adress：https://openreview.net/forum?id=ByeWogStDS

Paper code：https://anonymous.4open.science/r/de105a6d-8f8b-405e-b90a-54ab74adcb17/

45.Co-Attentive Equivariant Neural Networks: Focusing Equivariance On Transformations Co-Occurring in Data

Paper adress：https://openreview.net/forum?id=r1g6ogrtDr

Paper code：https://www.dropbox.com/sh/2gghao89strdotw/AAAYJ6XclnfeoS3AfN9Z-n5Wa?dl=0

44.Information Geometry of Orthogonal Initializations and Training

Paper adress：https://openreview.net/forum?id=rkg1ngrFPr

Paper code：https://github.com/mandt-lab/adversarial-negative-sampling

43.Extreme Classification via Adversarial Softmax Approximation

Paper adress：https://openreview.net/forum?id=rJxe3xSYDS

Paper code：https://github.com/mandt-lab/adversarial-negative-sampling

42.NAS-Bench-1Shot1: Benchmarking and Dissecting One-shot Neural Architecture Search

Paper adress：https://openreview.net/forum?id=SJx9ngStPH

Paper code：https://github.com/automl/nasbench-1shot1

41.The Shape of Data: Intrinsic Distance for Data Distributions

Paper adress：https://openreview.net/forum?id=HyebplHYwB

Paper code：https://github.com/xgfs/imd

40.Enabling Deep Spiking Neural Networks with Hybrid Conversion and Spike Timing Dependent Backpropagation

Paper adress：https://openreview.net/forum?id=B1xSperKvH

Paper code：https://github.com/nitin-rathi/hybrid-snn-conversion

39.Massively Multilingual Sparse Word Representations

Paper adress：https://openreview.net/forum?id=HyeYTgrFPB

Paper code：https://github.com/begab/mamus

38.Learning The Difference That Makes A Difference With Counterfactually-Augmented Data

Paper adress：https://openreview.net/forum?id=Sklgs0NFvr

Paper code：https://github.com/dkaushik96/counterfactually-augmented-data

37.Fractional Graph Convolutional Networks (FGCN) for Semi-Supervised Learning

Paper adress：https://openreview.net/forum

Paper code：https://github.com/yuzhouchen92/

36.Unsupervised Learning of Graph Hierarchical Abstractions with Differentiable Coarsening and Optimal Transport

Paper adress：https://openreview.net/forum?id=Bkf4XgrKvS

Paper code：https://github.com/matenure/OTCoarsening

35.Deep Semi-Supervised Anomaly Detection

Paper adress：https://arxiv.org/abs/1801.03149

Paper code：https://github.com/lukasruff/Deep-SAD-PyTorch

34.Model Based Reinforcement Learning for Atari

Paper adress：https://openreview.net/forum?id=S1xCPJHtDB

Paper code：http://bit.ly/2wjgn1a

33.And the Bit Goes Down: Revisiting the Quantization of Neural Networks

Paper adress：https://openreview.net/forum?id=rJehVyrKwH

Paper code：https://drive.google.com/file/d/12QK7onizf2ArpEBK706ly8bNfiM9cPzp/view?usp=sharing

32.Behaviour Suite for Reinforcement Learning

Paper adress：https://openreview.net/forum?id=rygf-kSYwH

Paper code： https://github.com/deepmind/bsuite

31.NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search

Paper adress：https://openreview.net/forum?id=HJxyZkBKDr

Paper code： https://github.com/D-X-Y/NAS-Bench-201

30.Network Deconvolution

Paper adress：https://openreview.net/forum?id=rkeu30EtvS

Paper code： https://github.com/yechengxi/deconvolution

29.Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

Paper adress：https://openreview.net/forum?id=B1xm3RVtwB

Paper code： https://bit.ly/2mBJLyk

28.Learning to Plan in High Dimensions via Neural Exploration-Exploitation Trees

Paper adress：https://openreview.net/forum?id=rJgJDAVKvB

Paper code： https://github.com/NeurEXT/NEXT-learning-to-plan/blob/master/main.ipynb

27.Disentangling neural mechanisms for perceptual grouping

Paper adress：https://openreview.net/forum?id=HJxrVA4FDS

Paper code：https://bit.ly/2wdQYGd

The Logical Expressiveness of Graph Neural Networks

Paper adress：https://openreview.net/forum?id=r1lZ7AEKvB

Paper code：https://anonymous.4open.science/r/787222e2-ad5e-4810-a788-e80f0fe7eff0/

Influence-Based Multi-Agent Exploration

Paper adress：https://openreview.net/forum?id=BJgy96EYvr

Paper code：https://github.com/TonghanWang/EITI-EDTI

Ridge Regression: Structure, Cross-Validation, and Sketching

Paper adress：https://openreview.net/forum?id=HklRwaEKwB

Paper code：https://github.com/liusf15/RidgeRegression

Encoding word order in complex embeddings

Paper adress：https://openreview.net/forum?id=Hke-WTVtwr

Paper code：https://github.com/iclr-complex-order/complex-order

Enhancing Adversarial Defense by k-Winners-Take-All

Paper adress：https://openreview.net/forum?id=Skgvy64tvr

Paper code：https://github.com/a554b554/kWTA-Activation

PC-DARTS: Partial Channel Connections for Memory-Efficient Architecture Search

Paper adress：https://openreview.net/forum?id=BJlS634tPr

Paper code：https://www.dropbox.com/sh/on9lg3rpx1r6dkf/AABG5mt0sMHjnEJyoRnLEYW4a?dl=0

Intensity-Free Learning of Temporal Point Processes

Paper adress：https://openreview.net/forum?id=HygOjhEYDH

Paper code：https://github.com/shchur/ifl-tpp

Estimating Gradients for Discrete Random Variables by Sampling without Replacement

Paper adress：https://openreview.net/forum?id=rklEj2EFvB

Paper code：https://github.com/wouterkool/estimating-gradients-without-replacement

Graph Neural Networks Exponentially Lose Expressive Power for Node Classification

Paper adress：https://openreview.net/forum?id=S1ldO2EFPr

Paper code： https://github.com/delta2323/gnn-asymptotics

BackPACK: Packing more into Backprop

Paper adress：https://arxiv.org/abs/1912.10985

Paper code：https://github.com/toiaydcdyywlhzvlob/backpack

AtomNAS: Fine-Grained End-to-End Neural Architecture Search

Paper adress：https://arxiv.org/abs/1912.12522

Paper code：https://github.com/meijieru/AtomNAS

15.FasterSeg: Searching for Faster Real-time Semantic Segmentation

Paper adress：https://paperswithcode.com/paper/fasterseg-searching-for-faster-real-time

Paper code：https://github.com/TAMU-VITA/FasterSeg

NAS evaluation is frustratingly hard

Paper adress：https://arxiv.org/abs/1912.12522

Paper code：https://github.com/antoyang/NAS-Benchmark

Geom-GCN: Geometric Graph Convolutional Networks

Paper adress：https://openreview.net/forum?id=S1e2agrFvS

Paper code：https://github.com/graphdml-uiuc-jlu/geom-gcn

Deep Graph Matching Consensus

Paper adress：https://arxiv.org/abs/2001.02525?context=cs

Paper code：https://github.com/JaminFong/FNA

Convolutional Convolutional Neural Processes

Paper adress：https://arxiv.org/abs/1910.13556v1

Paper code：https://github.com/cambridge-mlg/convcnp

Neural Machine Translation with Universal Visual Representation

Paper adress：None

Paper code：https://github.com/cooelf/UVR-NMT

A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning

Paper adress：https://arxiv.org/abs/2001.0689

Paper code：https://github.com/soochan-lee/CN-DPM

Gradient-Based Neural DAG Learning

Paper adress：https://arxiv.org/abs/1906.02226

Paper code：https://github.com/kurowasan/GraN-DAG

Scale-Equivariant Steerable Networks

Paper adress：https://arxiv.org/abs/1910.11093v1

Paper code：https://github.com/ISosnovik/sesn

6.Composition-Based Multi-Relational Graph Convolutional Networks

Paper adress：https://arxiv.org/abs/1802.04944v1

Paper code：https://github.com/malllabiisc/CompGCN

5.Automatically Discovering and Learning New Visual Categories with Ranking Statistics

Paper adress：

Paper code：https://github.com/k-han/AutoNovel

4.Pitfalls of In-Domain Uncertainty Estimation and Ensembling in Deep Learning

Paper adress：None

Paper code：https://github.com/bayesgroup/pytorch-ensembles

Strategies for Pre-training Graph Neural Networks

Paper adress：None

Paper code：https://github.com/snap-stanford/pretrain-gnns

Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering

Paper adress：None

Paper code：https://github.com/AkariAsai/learning_to_retrieve_reasoning_paths

FreeLB: Enhanced Adversarial Training for Language Understanding

Paper adress：https://arxiv.org/abs/1909.11764v2

Paper code：https://github.com/zhuchen03/FreeLB

marlin-github/Conference-code