NeurIPS 2021: all accepted papers
- Towards understanding retrosynthesis by energy-based models ↗Ruoxi Sun, Hanjun Dai, Li Li et al.16 citations
- Adaptive Data Augmentation on Temporal Graphs ↗Yiwei Wang, Yujun Cai, Yuxuan Liang et al.15 citations
- Distilling Meta Knowledge on Heterogeneous Graph for Illicit Drug Trafficker Detection on Social Media ↗Yiyue Qian, Yiming Zhang, Yanfang Ye et al.15 citations
- LiRo: Benchmark and leaderboard for Romanian language tasks ↗Ștefan Daniel Dumitrescu, Petru Rebeja, Beáta Lőrincz et al.15 citations
- Low-Fidelity Video Encoder Optimization for Temporal Action Localization ↗Mengmeng Xu, Juan Manuel Perez Rua, Xiatian Zhu et al.15 citations
- Analyzing the Confidentiality of Undistillable Teachers in Knowledge Distillation ↗Souvik Kundu, Qirui Sun, Yao Fu et al.14 citations
- BooVAE: Boosting Approach for Continual Learning of VAE ↗Evgenii Egorov, Anna Kuzina, Evgeny Vladimirovich Burnaev14 citations
- Distributed Saddle-Point Problems Under Data Similarity ↗Aleksandr Nikolaevich Beznosikov, Gesualdo Scutari, Alexander Rogozin et al.14 citations
- Graph Adversarial Self-Supervised Learning ↗Longqi Yang, Liangliang Zhang, Wenjing Yang14 citations
- TNASP: A Transformer-based NAS Predictor with a Self-evolution Framework ↗Shun Lu, Jixiang Li, Jianchao Tan et al.14 citations
- TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness ↗Zhuolin Yang, Linyi Li, Xiaojun Xu et al.14 citations
- VoiceMixer: Adversarial Voice Style Mixup ↗Sang-Hoon Lee, Jihoon Kim, Hyunseung Chung et al.14 citations
- Comprehensive Knowledge Distillation with Causal Intervention ↗Xiang Bo Deng, Zhongfei Mark Zhang13 citations
- Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations ↗Yu‐Lin Tsai, Chia‐Yi Hsu, Chia-Mu Yu et al.13 citations
- PLUR: A Unifying, Graph-Based View of Program Learning, Understanding, and Repair ↗Zimin Chen, Vincent Josua Hellendoorn, Pascal Lamblin et al.13 citations
- Stylized Dialogue Generation with Multi-Pass Dual Learning ↗Jinpeng Li, Yingce Xia, Rui Yan et al.13 citations
- A Faster Decentralized Algorithm for Nonconvex Minimax Problems ↗Wenhan Xian, Feihu Huang, Yanfu Zhang et al.12 citations
- Adversarial Reweighting for Partial Domain Adaptation ↗Xiang Gu, Xi Yu, Yan Yang et al.12 citations
- Differentially Private Empirical Risk Minimization under the Fairness Lens ↗Cuong Dinh Tran, My H. Dinh, Ferdinando Fioretto12 citations
- Early Convolutions Help Transformers See Better ↗Tete Xiao, Mannat Singh, Eric Mintun et al.12 citations
- Efficient Mirror Descent Ascent Methods for Nonsmooth Minimax Problems ↗Feihu Huang, Xidong Wu, Heng Huang12 citations
- Improving Contrastive Learning on Imbalanced Data via Open-World Sampling ↗Ziyu Jiang, Tianlong Chen, Ting Chen et al.12 citations
- Looking Beyond Single Images for Contrastive Semantic Segmentation Learning ↗Feihu Zhang, Philip H. S. Torr, René Ranftl et al.12 citations
- Piper: Multidimensional Planner for DNN Parallelization ↗Jakub Tarnawski, Deepak Narayanan, Amar Phanishayee12 citations
- Representation Learning on Spatial Networks ↗Zheng Zhang, Liang Zhao12 citations
- Align before Fuse: Vision and Language Representation Learning with Momentum Distillation ↗Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare et al.11 citations
- DOBF: A Deobfuscation Pre-Training Objective for Programming Languages ↗Marie-Anne Lachaux, Baptiste Rozière, Marc Szafraniec et al.11 citations
- Fair Sortition Made Transparent ↗Bailey Flanigan, Gregory Kehne, Ariel D. Procaccia11 citations
- Generative vs. Discriminative: Rethinking The Meta-Continual Learning ↗Mohammadamin Banayeeanzade, Rasoul Mirzaiezadeh, Hosein Hasani et al.11 citations
- GraphGT: Machine Learning Datasets for Graph Generation and Transformation ↗Yuanqi Du, Shiyu Wang, Xiaojie Guo et al.11 citations
- It Has Potential: Gradient-Driven Denoisers for Convergent Solutions to Inverse Problems ↗Regev Cohen, Yochai Blau, Daniel Z. Freedman et al.11 citations
- Multi-modal Dependency Tree for Video Captioning ↗Wentian Zhao, Xinxiao Wu, Jiebo Luo11 citations
- On the Algorithmic Stability of Adversarial Training ↗Yue Xing, Qifan Song, Guang Cheng11 citations
- Overparameterization Improves Robustness to Covariate Shift in High Dimensions ↗Nilesh Tripuraneni, Ben Adlam, Jeffrey Pennington11 citations
- TenSet: A Large-scale Program Performance Dataset for Learned Tensor Compilers ↗Lianmin Zheng, Ruochen Liu, Junru Shao et al.11 citations
- Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer ↗Ge Yang, J. Edward Hu, I. Babuschkin et al.11 citations
- VAST: Value Function Factorization with Variable Agent Sub-Teams ↗Thomy Phan, Fabian Ritz, Lenz Belzner et al.11 citations
- Validating the Lottery Ticket Hypothesis with Inertial Manifold Theory ↗Zeru Zhang, Jiayin Jin, Zijie Zhang et al.11 citations
- A Mathematical Framework for Quantifying Transferability in Multi-source Transfer Learning ↗Xinyi Tong, Xiangxiang Xu, Shao‐Lun Huang et al.10 citations
- DEBAGREEMENT: A comment-reply dataset for (dis)agreement detection in online debates ↗John Pougué-Biyong, Valentina Semenova, Alexandre Matton et al.10 citations
- Learning Semantic Representations to Verify Hardware Designs ↗Shobha Vasudevan, Wenjie Jiang, David Bieber et al.10 citations
- Learning to Learn Dense Gaussian Processes for Few-Shot Learning ↗Ze Wang, Zichen Miao, Xiantong Zhen et al.10 citations
- REMIPS: Physically Consistent 3D Reconstruction of Multiple Interacting People under Weak Supervision ↗Mihai Fieraru, Mihai Zanfir, Teodor Alexandru Szente et al.10 citations
- Recurrent Bayesian Classifier Chains for Exact Multi-Label Classification ↗Walter Gerych, Thomas Hartvigsen, Luke Buquicchio et al.10 citations
- STEP: Out-of-Distribution Detection in the Presence of Limited In-Distribution Labeled Data ↗Zhi Zhou, Lan-Zhe Guo, Zhanzhan Cheng et al.10 citations
- Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation ↗Can Qin, Handong Zhao, Lichen Wang et al.10 citations
- Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning ↗Xin Zhang, Zhuqing Liu, Jia Liu et al.10 citations
- A Bayesian-Symbolic Approach to Reasoning and Learning in Intuitive Physics ↗Kai Xu, Akash Srivastava, Dan Gutfreund et al.9 citations
- COHESIV: Contrastive Object and Hand Embedding Segmentation In Video ↗Dandan Shan, Richard E. L. Higgins, David F. Fouhey9 citations
- Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems ↗Tianyi Chen, Yuejiao Sun, Wotao Yin9 citations
- Co-evolution Transformer for Protein Contact Prediction ↗He Zhang, Fusong Ju, Jianwei Zhu et al.9 citations
- Explanation-based Data Augmentation for Image Classification ↗Sandareka Wickramanayake, Wynne Hsu, Mong Li Lee9 citations
- FS-Mol: A Few-Shot Learning Dataset of Molecules ↗Megan Stanley, John F. Bronskill, Krzysztof Maziarz et al.9 citations
- Gradient-Free Adversarial Training Against Image Corruption for Learning-based Steering ↗Yu Shen, Laura Zheng, Manli Shu et al.9 citations
- MOMA: Multi-Object Multi-Actor Activity Parsing ↗Zelun Luo, Wanze Xie, Siddharth Kapoor et al.9 citations
- Revitalizing CNN Attention via Transformers in Self-Supervised Visual Representation Learning ↗Chongjian Ge, Youwei Liang, Yibing Song et al.9 citations
- The Implicit Bias of Minima Stability: A View from Function Space ↗Rotem Mulayoff, Tomer Michaeli, Daniel Soudry9 citations
- Towards Unifying Behavioral and Response Diversity for Open-ended Learning in Zero-sum Games ↗Xiangyu Liu, Hangtian Jia, Ying Wen et al.9 citations
- Turing Completeness of Bounded-Precision Recurrent Neural Networks ↗Stephen Chung, Hava T. Siegelmann9 citations
- Universal Semi-Supervised Learning ↗Zhuo Huang, Chao Xue, Bo Han et al.9 citations
- Channel Permutations for N:M Sparsity ↗Jeff Pool, C. X. Yu8 citations
- Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback ↗Lin Yang, Yu-Zhen Janice Chen, Stephen Pasteris et al.8 citations
- Hardware-adaptive Efficient Latency Prediction for NAS via Meta-Learning ↗Hayeon Lee, Sewoong Lee, Song Chong et al.8 citations
- Learning to Adapt via Latent Domains for Adaptive Semantic Segmentation ↗Yunan Liu, Shanshan Zhang, Yang Li et al.8 citations
- Multilingual Spoken Words Corpus ↗Mark Mazumder, Sharad Chitlangia, Colby Banbury et al.8 citations
- NeuroMLR: Robust & Reliable Route Recommendation on Road Networks ↗Jayant Jain, Vrittika Bagadia, Sahil Manchanda et al.8 citations
- Parameter-free HE-friendly Logistic Regression ↗Junyoung Byun, Woojin Lee, Jaewook Lee8 citations
- Pooling by Sliced-Wasserstein Embedding ↗Navid Naderializadeh, Joseph F. Comer, Reed W. Andrews et al.8 citations
- Reliable Decisions with Threshold Calibration ↗Roshni Sahoo, Shengjia Zhao, Alyssa Y. Chen et al.8 citations
- Revisiting ResNets: Improved Training and Scaling Strategies ↗Irwan Bello, W. Fedus, Xianzhi Du et al.8 citations
- SyncTwin: Treatment Effect Estimation with Longitudinal Outcomes ↗Zhaozhi Qian, Yao Zhang, Ioana Bica et al.8 citations
- Adder Attention for Vision Transformer ↗Han Shu, Jiahao Wang, Hanting Chen et al.7 citations
- Attention Bottlenecks for Multimodal Fusion ↗Arsha Nagrani, Shan Yang, Anurag Arnab et al.7 citations
- A²-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval ↗Xiu-Shen Wei, Shen Yang, Xuhao Sun et al.7 citations
- Efficient Equivariant Network ↗Lingshen He, Yuxuan Chen, Zhengyang Shen et al.7 citations
- Few-Round Learning for Federated Learning ↗Young-Hyun Park, Dong-Jun Han, Do-Yeon Kim et al.7 citations
- IRM — when it works and when it doesn't: A test case of natural language inference ↗Yana Dranker, He He, Yonatan Belinkov7 citations
- Impression learning: Online representation learning with synaptic plasticity ↗Colin Bredenberg, Benjamin S. H. Lyo, Eero P. Simoncelli et al.7 citations
- Learning Tree Interpretation from Object Representation for Deep Reinforcement Learning ↗Guiliang Liu, Xiangyu Sun, Oliver Schulte et al.7 citations
- Multilingual Pre-training with Universal Dependency Learning ↗Kailai Sun, Zuchao Li, Hai Zhao7 citations
- Neural Symplectic Form: Learning Hamiltonian Equations on General Coordinate Systems ↗Yuhan Chen, Takashi Matsubara, Takaharu Yaguchi7 citations
- Offline Meta Reinforcement Learning — Identifiability Challenges and Effective Data Collection Strategies ↗Ron Dorfman, Idan Shenfeld, Aviv Tamar7 citations
- Towards Sharper Generalization Bounds for Structured Prediction ↗Shaojie Li, Yong Liu7 citations
- TriBERT: Human-centric Audio-visual Representation Learning ↗Tanzila Rahman, Mengyu Yang, Leonid Sigal7 citations
- Ultrahyperbolic Neural Networks ↗Marc T. Law7 citations
- Bayesian Adaptation for Covariate Shift ↗Aurick Zhou, Sergey Levine6 citations
- Change Point Detection via Multivariate Singular Spectrum Analysis ↗Arwa Alanqary, Abdullah Alomar, Devavrat Shah6 citations
- Counterexample Guided RL Policy Refinement Using Bayesian Optimization ↗Briti Gangopadhyay, Pallab Dasgupta6 citations
- Decision Transformer: Reinforcement Learning via Sequence Modeling ↗Li-Li Chen, Kevin Lü, Aravind Rajeswaran et al.6 citations
- Exploring Forensic Dental Identification with Deep Learning ↗Yuan Liang, Weikun Han, Liang Qiu et al.6 citations
- Finite Sample Analysis of Average-Reward TD Learning and Q-Learning ↗Sheng Zhang, Zhe Zhang, Siva Theja Maguluri6 citations
- Identification and Estimation of Joint Probabilities of Potential Outcomes in Observational Studies with Covariate Information ↗Ryusei Shingaki, Manabu Kuroki6 citations
- Latent Equilibrium: Arbitrarily fast computation with arbitrarily slow neurons ↗Paul Haider, Benjamin Ellenberger, Laura Kriener et al.6 citations
- Multi-View Representation Learning via Total Correlation Objective ↗HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong et al.6 citations
- Progressive Feature Interaction Search for Deep Sparse Network ↗Chen Gao, Yinfeng Li, Quanming Yao et al.6 citations
- Really Doing Great at Estimating CATE? A Critical Look at ML Benchmarking Practices in Treatment Effect Estimation ↗Alicia Curth, David J. Svensson, Jim Weatherall et al.6 citations
- Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes ↗Hyunji Nam, Scott L. Fleming, Emma Brunskill6 citations
- Shapeshifter: a Parameter-efficient Transformer using Factorized Reshaped Matrices ↗Aliakbar Panahi, Seyran Saeedi, Tom J. Arodz6 citations
- Skipping the Frame-Level: Event-Based Piano Transcription With Neural Semi-CRFs ↗Yujia Yan, Frank Cwitkowitz, Zhiyao Duan6 citations
- Towards Better Understanding of Training Certifiably Robust Models against Adversarial Examples ↗Sungyoon Lee, Woojin Lee, J.-G. Park et al.6 citations
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