/awesome-ai-best-papers

A curated list of famous CV/NLP/ML/AI best papers, inspired by Best Paper Awards in Computer Science (since 1996).

Awesome AI Best Papers

A curated list of famous CV/NLP/ML/AI best papers, inspired by Best Paper Awards in Computer Science (since 1996).

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Contents

ACL

2018

  • Finding syntax in human encephalography with beam search. John Hale, Chris Dyer, Adhiguna Kuncoro and Jonathan Brennan. (Best Long Paper) [PDF]
  • Learning to Ask Good Questions: Ranking Clarification Questions using Neural Expected Value of Perfect Information. Sudha Rao and Hal Daumé III. (Best Long Paper) [PDF]
  • Let’s do it “again”: A First Computational Approach to Detecting Adverbial Presupposition Triggers. Andre Cianflone,* Yulan Feng,* Jad Kabbara* and Jackie Chi Kit Cheung. (* equal contribution) (Best Long Paper) [PDF]
  • Know What You Don’t Know: Unanswerable Questions for SQuAD. Pranav Rajpurkar, Robin Jia and Percy Liang (Best Short Paper) [PDF]
  • ‘Lighter’ Can Still Be Dark: Modeling Comparative Color Descriptions. Olivia Winn and Smaranda Muresan (Best Short Paper) [PDF]
  • Coarse-to-Fine Decoding for Neural Semantic Parsing. Li Dong and Mirella Lapata. Long Paper Honorable Mention [PDF]
  • NASH: Toward End-to-End Neural Architecture for Generative Semantic Hashing. Dinghan Shen, Qinliang Su, Paidamoyo Chapfuwa, Wenlin Wang, Guoyin Wang, Ricardo Henao and Lawrence Carin. Long paper Honorable Mention [PDF]
  • Backpropagating through Structured Argmax using a SPIGOT. Hao Peng, Sam Thomson and Noah A. Smith. Long Paper Honorable Mention [PDF]
  • Hierarchical Neural Story Generation. Angela Fan, Mike Lewis and Yann Dauphin. Long Paper Honorable Mention [PDF]
  • Semantically Equivalent Adversarial Rules for Debugging NLP models. Marco Tulio Ribeiro, Sameer Singh and Carlos Guestrin. Long Paper Honorable Mention [PDF]
  • Large-Scale QA-SRL Parsing. Nicholas FitzGerald, Julian Michael, Luheng He and Luke Zettlemoyer. Long Paper Honorable Mention [PDF]
  • Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling. Luheng He, Kenton Lee, Omer Levy and Luke Zettlemoyer. Short Paper Honorable Mention [PDF]
  • Do Neural Network Cross-Modal Mappings Really Bridge Modalities? Guillem Collell and Marie-Francine Moens. Short Paper Honorable Mention [PDF]

2017

  • Towards an Automatic Turing Test: Learning to Evaluate Dialogue Responses. Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio and Joelle Pineau (Outstanding Long Paper) [PDF]
  • A Transition-Based Directed Acyclic Graph Parser for UCCA. Daniel Hershcovich, Omri Abend and Ari Rappoport (Outstanding Long Paper) [PDF]
  • Abstract Syntax Networks for Code Generation and Semantic Parsing. Maxim Rabinovich, Mitchell Stern and Dan Klein (Outstanding Long Paper) [PDF]
  • Visualizing and Understanding Neural Machine Translation. Yanzhuo Ding, Yang Liu, Huanbo Luan and Maosong Sun (Outstainding Long Paper) [PDF]
  • Detecting annotation noise in automatically labelled data. Ines Rehbein and Josef Ruppenhofer (Outstanding Long paper) [PDF]
  • Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme. Suncong Zheng, Feng Wang and Hongyun Bao (Outstanding Long Paper) [PDF]
  • A Local Detection Approach for Named Entity Recognition and Mention Detection. Mingbin Xu, Hui Jiang and Sedtawut Watcharawittayakul (Outstanding Long Paper) [PDF]
  • Vancouver Welcomes You! Minimalist Location Metonymy Resolution. Milan Gritta, Mohammad Taher Pilehvar, Nut Limsopatham and Nigel Collier (Outstanding Long Paper) [PDF]
  • Unifying Text, Metadata, and User Network Representations with a Neural Network for Geolocation Prediction. Yasuhide Miura, Motoki Taniguchi, Tomoki Taniguchi and Tomoko Ohkuma (Outstanding Long Paper) [PDF]
  • Multi-Task Video Captioning with Visual and Textual Entailment. Ramakanth Pasunuru and Mohit Bansal (Outstanding Long Paper) [PDF]
  • Abstractive Document Summarization with a Graph-Based Attentional Neural Model. Jiwei Tan and Xiaojun Wan (Outstanding Long Paper) [PDF]
  • Probabilistic Typology: Deep Generative Models of Vowel Inventories. Ryan Cotterell and Jason Eisner (Best Long Paper) [PDF]
  • Adversarial Multi-Criteria Learning for Chinese Word Segmentation. Xinchi Chen, Zhan Shi, Xipeng Qiu and Xuanjing Huang (Outstanding Long Paper) [PDF]
  • Neural Joint Model for Transition-based Chinese Syntactic Analysis. Shuhei Kurita, Daisuke Kawahara and Sadao Kurohashi (Outstanding Long Paper) [PDF]
  • Robust Incremental Neural Semantic Graph Parsing. Jan Buys and Phil Blunsom (Outstanding Long Paper) [PDF]
  • The Role of Prosody and Speech Register in Word Segmentation: A Computational Modelling Perspective. Bogdan Ludusan, Reiko Mazuka, Mathieu Bernard, Alejandrina Cristia and Emmanuel Dupoux (Best Short Paper) [PDF]
  • A Two-stage Parsing Method for Text-level Discourse Analysis. Yizhong Wang and Sujian Li (Outstanding Short Paper) [PDF]
  • Error-repair Dependency Parsing for Ungrammatical Texts. Keisuke Sakaguchi, Matt Post and Benjamin Van Durme (Outstanding Short Paper) [PDF]
  • Attention Strategies for Multi-Source Sequence-to-Sequence Learning. Jindřich Libovický and Jindřich Helcl (Outstanding Short Paper) [PDF]
  • Understanding and Detecting Diverse Supporting Arguments on Controversial Issues. Xinyu Hua and Lu Wang (Outstanding Short Paper) [PDF]
  • A Neural Model for User Geolocation and Lexical Dialectology. Afshin Rahimi, Trevor Cohn and Timothy Baldwin (Outstanding Short Paper) [PDF]
  • A Corpus of Compositional Language for Visual Reasoning. Alane Suhr, Mike Lewis, James Yeh and Yoav Artzi (Outstanding Short Paper) [PDF]

2016

  • A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task. Danqi Chen, Jason Bolton and Christopher D. Manning (Outstanding Long Paper) [PDF]
  • Learning Language Games through Interaction. Sida I. Wang, Percy Liang and Christopher D. Manning (Outstanding Long Paper) [PDF]
  • Finding Non-Arbitrary Form-Meaning Systematicity Using String-Metric Learning for Kernel Regression. E.Dario Gutierrez, Roger Levy and Benjamin Bergen (Best Paper) [PDF]
  • Improving Hypernymy Detection with an Integrated Pathbased and Distributional Method. Vered Shwartz, Yoav Goldberg and Ido Dagan: (Outstanding Long Paper) [PDF]
  • Multimodal Pivots for Image Caption Translation. Julian Hitschler, Shigehiko Schamoni and Stefan Riezler (Outstanding Long Paper) [PDF]
  • Harnessing Deep Neural Networks with Logic Rules. Zhiting Hu, Xuezhe Ma, Zhengzhong Liu, Eduard Hovy and Eric Xing (Outstanding Long Paper) [PDF]
  • Case and Cause in Icelandic: Reconstructing Causal Networks of Cascaded Language Changes. Fermin Moscoso del Prado Martin and Christian Brendel (Outstanding Long Paper) [PDF]
  • On-line Active Reward Learning for Policy Optimisation in Spoken Dialogue Systems. Pei-Hao Su, Milica Gasic, Nikola Mrkšić, Lina M. Rojas Barahona, Stefan Ultes, David Vandyke, TsungHsien Wen and Steve Young (Best Student Paper) [PDF]
  • Globally Normalized Transition-Based Neural Networks Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov and Michael Collins (Outstanding Long Paper) [PDF]
  • Transition-based dependency parsing with topological fields. Daniël de Kok and Erhard Hinrichs (Outstanding Short Paper) [PDF]
  • Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction. Kim Anh Nguyen, Sabine Schulte im Walde and Ngoc Thang Vu (Outstanding Short Paper) [PDF]

AAAI

2018

  • Memory-Augmented Monte Carlo Tree Search. Chenjun Xiao, Jincheng Mei, and Martin Müller (Outstanding Paper Award) [PDF]
  • Generalized Adjustment under Confounding and Selection Biases. Juan D. Correa, Jin Tian, Elias Bareinboim (Paper Award Honorable Mention) [PDF]
  • Counterfactual Multi-Agent Policy Gradients. Jakob N. Foerster, Gregory Farquhar, Triantafyllos Afouras, Nantas Nardelli, Shimon Whiteson (Outstanding Student Paper Award) [PDF]
  • Adapting a Kidney Exchange Algorithm to Align with Human Values. Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer (Student Paper Award Honorable Mention) [PDF]

2017

  • Label-Free Supervision of Neural Networks with Physics and Domain Knowledge. Russell Stewart and Stefano Ermon (Outstanding Paper Award) [PDF]
  • The Option-Critic Architecture. Pierre-Luc Bacon, Jean Harb, and Doina Precup (Outstanding Student Paper Award) [PDF]

2016

  • Bidirectional Search That Is Guaranteed to Meet in the Middle. Robert C. Holte, Ariel Felner, Guni Sharon, and Nathan R. Sturtevant (Outstanding Paper Award) [PDF]
  • Toward a Taxonomy and Computational Models of Abnormalities in Images. Babak Saleh, Ahmed Elgammal, Jacob Feldman, and Ali Farhadi (Outstanding Student Paper Award) [PDF]

CVPR

2017

  • Densely Connected Convolutional Networks. Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger (Best Paper) [PDF]
  • Learning from Simulated and Unsupervised Images through Adversarial Training. Ashish Shrivastava, Tomas Pfister, Oncel Tuzel, Joshua Susskind, Wenda Wang, Russell Webb (Best Paper) [PDF]
  • Annotating Object Instances with a Polygon-RNN. Lluís Castrejón, Kaustav Kundu, Raquel Urtasun, Sanja Fidler (Best Paper Honorable Mention) [PDF]
  • YOLO9000: Better, Faster, Stronger. Joseph Redmon, Ali Farhadi (Best Paper Honorable Mention) [PDF]
  • Computational Imaging on the Electric Grid. Mark Sheinin, Yoav Y. Schechner, Kiriakos N. Kutulakos (Best Student Paper) [PDF]

2016

  • Deep Residual Learning for Image Recognition Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun (Best Paper) [PDF]
  • Sublabel-Accurate Relaxation of Nonconvex Energies. Thomas Möllenhoff, Emanuel Laude, Michael Moeller, Jan Lellmann, Daniel Cremers (Best Paper) [PDF]
  • Structural-RNN: Deep Learning on Spatio-Temporal Graphs. Ashesh Jain, Amir R. Zamir, Silvio Savarese, Ashutosh Saxena (Best Student Paper) [PDF]

EMNLP

2017

  • Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints. Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez and Kai-Wei Chang. (Best Long Paper) [PDF]
  • Depression and Self-Harm Risk Assessment in Online Forums. Andrew Yates, Arman Cohan and Nazli Goharian. (Best Long Paper) [PDF]
  • Natural Language Does Not Emerge ‘Naturally’ in Multi-Agent Dialog. Satwik Kottur, José Moura, Stefan Lee and Dhruv Batra. (Best Short Paper) [PDF]
  • Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps. Tobias Falke and Iryna Gurevych. (Best Short Paper) [PDF]

2016

  • Improving Information Extraction by Acquiring External Evidence with Reinforcement Learning. Karthik Narasimhan, Adam Yala and Regina Barzilay (Best Long Paper) [PDF]
  • Global Neural CCG Parsing with Optimality Guarantees. Kenton Lee, Mike Lewis and Luke Zettlemoyer (Best Long Paper) [PDF]
  • Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles. James Cross and Liang Huang (Best Paper Honorable Mention) [PDF]
  • Sequence-to-Sequence Learning as Beam-Search Optimization. Sam Wiseman and Alexander M. Rush (Best Paper Honorable Mention) [PDF]
  • Learning a Lexicon and Translation Model from Phoneme Lattices. Oliver Adams, Graham Neubig, Trevor Cohn, Steven Bird, Quoc Truong Do and Satoshi Nakamura (Best Short Paper) [PDF]

ICCV

2017

  • Mask R-CNN. Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick (Marr Prize Paper) [PDF]
  • First Person Activity Forecasting with Online Inverse Reinforcement Learning. Nicholas Rhinehart, Kris M. Kitani (Marr Prize Paper Honorable Mention) [PDF]
  • Open Set Domain Adaptation. Pau Panareda Busto, Juergen Gall (Marr Prize Paper Honorable Mention) [PDF]
  • Globally-Optimal Inlier Set Maximisation for Simultaneous Camera Pose and Feature Correspondence. Dylan Campbell, Lars Petersson, Laurent Kneip, Hongdong Li (Marr Prize Paper Honorable Mention) [PDF]
  • Focal Loss for Dense Object Detection. Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, Piotr Dollár (Best Student Paper) [PDF]

ICLR

2018

  • On the convergence of Adam and Beyond. Sashank J. Reddi, Satyen Kale, Sanjiv Kumar (Best Paper) [PDF]
  • Spherical CNNs. Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling (Best Paper) [PDF]
  • Continuous adaptation via meta-learning in nonstationary and competitive environments. Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel (Best Paper) [PDF]

2017

  • Understanding deep learning requires rethinking generalization. Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, Oriol Vinyals (Best Paper) [PDF]
  • Making neural programming architectures via recursion. Jonathon Cai, Richard Shin, Dawn Song (Best Paper) [PDF]
  • Semi-supervised knowledge transfer for deep learning from private training data. Nicolas Papernot, Martín Abadi, Úlfar Erlingsson, Ian Goodfellow, Kunal Talwar (Best Paper) [PDF]

2016

  • Neural Programmer-Interpreters. Scott Reed, Nando de Freitas (Best Paper) [PDF]
  • Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding. Song Han, Huizi Mao, Bill Dally (Best Paper) [PDF]

ICML

2018

  • Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples. Anish Athalye, Nicholas Carlini, David Wagner (Best Paper) [PDF]
  • Delayed Impact of Fair Machine Learning. Lydia Liu, Sarah Dean, Esther Rolf, Max Simchowitz, Moritz Hardt (Best Paper) [PDF]
  • The Mechanics of n-Player Differentiable Games. David Balduzzi, Sebastien Racaniere, James Martens, Jakob Foerster, Karl Tuyls, Thore Graepel (Best Paper Runner Up) [PDF]
  • Near Optimal Frequent Directions for Sketching Dense and Sparse Matrices. Zengfeng Huang (Best Paper Runner Up) [PDF]
  • Fairness Without Demographics in Repeated Loss Minimization. Tatsunori Hashimoto, Megha Srivastava, Hongseok Namkoong, Percy Liang (Best Paper Runner Up) [PDF]

2017

  • Understanding Black-box Predictions via Influence Functions. Pang Wei Koh, Percy Liang (Best Paper) [PDF]
  • Lost Relatives of the Gumbel Trick. Matej Balog, Nilesh Tripuraneni, Zoubin Ghahramani, Adrian Weller (Best Paper Honorable Mention) [PDF]
  • Modular Multitask Reinforcement Learning with Policy Sketches. Jacob Andreas, Dan Klein, Sergey Levine (Best Paper Honorable Mention) [PDF]
  • A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions. Jayadev Acharya, Hirakendu Das, Alon Orlitsky, Ananda Suresh (Best Paper Honorable Mention) [PDF]

2016

  • Dueling Network Architectures for Deep Reinforcement Learning. Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt, Marc Lanctot, Nando de Freitas (Best Paper) [PDF]
  • Pixel Recurrent Neural Networks. Aaron Van den Oord, Nal Kalchbrenner, Koray Kavukcuoglu (Best Paper) [PDF]
  • Ensuring Rapid Mixing and Low Bias for Asynchronous Gibbs Sampling. Christopher De Sa, Chris Re, Kunle Olukotun (Best Paper) [PDF]

NAACL

2018

  • Deep Contextualized Word Representations. Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee and Luke Zettlemoyer (Outstanding Paper) [PDF]
  • Learning to Map Context-Dependent Sentences to Executable Formal Queries. Alane Suhr, Srinivasan Iyer and Yoav Artz (Outstanding Paper) [PDF]
  • Neural Text Generation in Stories using Entity Representations as Context. Elizabeth Clark, Yangfeng Ji and Noah A. Smith (Outstanding Paper) [PDF]
  • Recurrent Neural Networks as Weighted Language Recognizers. Yining Chen, Sorcha Gilroy, Andreas Maletti, Jonathan May and Kevin Knight (Outstanding Paper) [PDF]

NIPS

2017

  • Safe and Nested Subgame Solving for Imperfect-Information Games. Noam Brown, Tuomas Sandholm. (Best Paper) [PDF]
  • Variance-based Regularization with Convex Objectives. Hongseok Namkoong, John Duchi. (Best Paper) [PDF]
  • A Linear-Time Kernel Goodness-of-Fit Test. Wittawat Jitkrittum, Wenkai Xu, Zoltan Szabo, Kenji Fukumizu, Arthur Gretton. (Best Paper) [PDF]

2016

  • Value Iteration Networks. Aviv Tamar, Yi Wu, Garrett Thomas, Sergey Levine, Pieter Abbeel (Best Paper) [PDF]
  • Matrix Completion has No Spurious Local Minimum. Rong Ge, Jason Lee, Tengyu Ma (Best Student Paper) [PDF]

Reference

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To the extent possible under law, Shunsuke KITADA has waived all copyright and related or neighboring rights to this work.