NeurIPS 2022: all accepted papers
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- A Unified Analysis of Federated Learning with Arbitrary Client Participation ↗Shiqiang Wang, Mingyue Ji18 citations
- AdaFocal: Calibration-Aware Adaptive Focal Loss ↗Arindam Ghosh, Thomas Schaaf, Matthew R. Gormley18 citations
- Contrastive Adapters for Foundation Model Group Robustness ↗Michael Zhang, Christopher Ré18 citations
- DC-BENCH: Dataset Condensation Benchmark ↗Justin Cui, Ruochen Wang, Si Si et al.18 citations
- Discovered Policy Optimisation ↗Chris Lu, Jakub Kuba, Alistair Letcher et al.18 citations
- Efficient Coding, Channel Capacity, and the Emergence of Retinal Mosaics ↗Na Young Jun, Greg D. Field, John Pearson18 citations
- FiLM-Ensemble: Probabilistic Deep Learning Via Feature-Wise Linear Modulation ↗Mehmet Özgür Türkoglu, Alexander Becker, Hüseyin Anil Gündüz et al.18 citations
- GREED: A Neural Framework for Learning Graph Distance Functions ↗Rishabh Ranjan, Siddharth Grover, Sourav Medya et al.18 citations
- Is a Modular Architecture Enough? ↗Sarthak Mittal, Yoshua Bengio, Guillaume Lajoie18 citations
- Isometric 3D Adversarial Examples in the Physical World ↗Yibo Miao, Yinpeng Dong, Jun Zhu et al.18 citations
- Learning Articulated Rigid Body Dynamics with Lagrangian Graph Neural Network ↗Ravinder Bhattoo, Sayan Ranu, N M Anoop Krishnan18 citations
- Learning Debiased Classifier with Biased Committee ↗Nayeong Kim, Sehyun Hwang, Sungsoo Ahn et al.18 citations
- MCMAE: Masked Convolution Meets Masked Autoencoders ↗Peng Gao, Teli Ma, Hongsheng Li et al.18 citations
- NeurOLight: A Physics-Agnostic Neural Operator Enabling Parametric Photonic Device Simulation ↗Jiaqi Gu, Zhengqi Gao, Chenghao Feng et al.18 citations
- On Learning Fairness and Accuracy on Multiple Subgroups ↗Changjian Shui, Gezheng Xu, Qi Chen et al.18 citations
- Perturbation Learning Based Anomaly Detection ↗Jinyu Cai, Jicong Fan18 citations
- Riemannian Diffusion Models ↗Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose et al.18 citations
- Riemannian Score-Based Generative Modelling ↗Valentin De Bortoli, Émile Mathieu, Michael Hutchinson et al.18 citations
- Signal Processing for Implicit Neural Representations ↗Dejia Xu, Peihao Wang, Yifan Jiang et al.18 citations
- Towards Improving Faithfulness in Abstractive Summarization ↗Xiuying Chen, Mingzhe Li, Xin Gao et al.18 citations
- Uncalibrated Models Can Improve Human-AI Collaboration ↗Kailas Vodrahalli, Tobias Gerstenberg, James Zou18 citations
- Understanding and Improving Robustness of Vision Transformers Through Patch-Based Negative Augmentation ↗Yao Qin, Chiyuan Zhang, Ting Chen et al.18 citations
- Unsupervised Representation Learning from Pre-Trained Diffusion Probabilistic Models ↗Zijian Zhang, Zhou Li Zhao, Zhijie Lin18 citations
- What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective ↗Huan Wang, Suhas Lohit, Michael Jones et al.18 citations
- A Unified Framework for Deep Symbolic Regression ↗Mikel Landajuela, Chak Shing Lee, Jiachen Yang et al.17 citations
- AnimeSR: Learning Real-World Super-Resolution Models for Animation Videos ↗Yanze Wu, Xintao Wang, Gen Li et al.17 citations
- Beyond Spectral Gap: The Role of the Topology in Decentralized Learning ↗Thijs Vogels, Hadrien Hendrikx, Martin Jaggi17 citations
- Bootstrapped Transformer for Offline Reinforcement Learning ↗Kerong Wang, Hanye Zhao, Xufang Luo et al.17 citations
- Do Current Multi-Task Optimization Methods in Deep Learning Even Help? ↗Derrick Xin, Behrooz Ghorbani, Justin Gilmer et al.17 citations
- Effective Adaptation in Multi-Task Co-Training for Unified Autonomous Driving ↗Xiwen Liang, Yangxin Wu, Jianhua Han et al.17 citations
- Efficient Knowledge Distillation from Model Checkpoints ↗Wang Chaofei, Qisen Yang, Rui Huang et al.17 citations
- Efficient and Modular Implicit Differentiation ↗Mathieu Blondel, Quentin Berthet, Marco Cuturi et al.17 citations
- Exploration Via Elliptical Episodic Bonuses ↗Mikael Henaff, Roberta Răileanu, Minqi Jiang et al.17 citations
- HyperDomainNet: Universal Domain Adaptation for Generative Adversarial Networks ↗Aibek Alanov, Vadim Titov, Dmitry Vetrov17 citations
- Learning Causally Invariant Representations for Out-Of-Distribution Generalization on Graphs ↗Yongqiang Chen, Yonggang Zhang, Yatao Bian et al.17 citations
- Learning to Configure Computer Networks with Neural Algorithmic Reasoning ↗Luca Beurer-Kellner, Martin Vechev, Laurent Vanbever et al.17 citations
- Neural Conservation Laws: A Divergence-Free Perspective ↗Jack Richter-Powell, Yaron Lipman, Ricky T. Q. Chen17 citations
- Optimizing Relevance Maps of Vision Transformers Improves Robustness ↗Hila Chefer, Idan Schwartz, Lior Wolf17 citations
- PerfectDou: Dominating DouDizhu with Perfect Information Distillation ↗Guan Yang, Minghuan Liu, Weijun Hong et al.17 citations
- Power and Limitations of Single-Qubit Native Quantum Neural Networks ↗Zhan Yu, Hongshun Yao, Mujin Li et al.17 citations
- Provably Expressive Temporal Graph Networks ↗Amauri Souza, Diego Mesquita, Samuel Kaski et al.17 citations
- Segmenting Moving Objects Via an Object-Centric Layered Representation ↗Junyu Xie, Weidi Xie, Andrew Zisserman17 citations
- Self-Supervised Learning Via Maximum Entropy Coding ↗Xin Liu, Zhongdao Wang, Ya-Li Li et al.17 citations
- Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity ↗Abhishek Gupta, Aldo Pacchiano, Yuexiang Zhai et al.17 citations
- VLMbench: A Compositional Benchmark for Vision-And-Language Manipulation ↗Kaizhi Zheng, Xiaotong Chen, Odest Chadwicke Jenkins et al.17 citations
- What Makes Graph Neural Networks Miscalibrated? ↗Hans Hao-Hsun Hsu, Yuesong Shen, Christian Tomani et al.17 citations
- ALMA: Hierarchical Learning for Composite Multi-Agent Tasks ↗Shariq Iqbal, Robby Costales, Fei Sha16 citations
- Active Learning Helps Pretrained Models Learn the Intended Task ↗Alex Tamkin, Dat Nguyen, Salil Deshpande et al.16 citations
- Adaptive Distribution Calibration for Few-Shot Learning with Hierarchical Optimal Transport ↗Dandan Guo, Long Tian, He Zhao et al.16 citations
- Addressing Leakage in Concept Bottleneck Models ↗Marton Havasi, Sonali Parbhoo, Finale Doshi‐Velez16 citations
- Are You Stealing My Model? Sample Correlation for Fingerprinting Deep Neural Networks ↗Jiyang Guan, Jian Liang, Ran He16 citations
- Automatic Differentiation of Programs with Discrete Randomness ↗Gaurav Arya, Moritz Schauer, Frank Schäfer et al.16 citations
- Beyond Not-Forgetting: Continual Learning with Backward Knowledge Transfer ↗Sen Lin, Li Yang, Deliang Fan et al.16 citations
- DigGAN: Discriminator gradIent Gap Regularization for GAN Training with Limited Data ↗Tiantian Fang, Ruoyu Sun, Alexander Gerhard Schwing16 citations
- EcoFormer: Energy-Saving Attention with Linear Complexity ↗Jing Liu, Zizheng Pan, Haoyu He et al.16 citations
- Efficient and Effective Augmentation Strategy for Adversarial Training ↗Sravanti Addepalli, Samyak Jain, Venkatesh Babu R16 citations
- Embracing Consistency: A One-Stage Approach for Spatio-Temporal Video Grounding ↗Yang Jin, Yongzhi Li, Zehuan Yuan et al.16 citations
- EnvPool: A Highly Parallel Reinforcement Learning Environment Execution Engine ↗Jiayi Weng, Min Lin, Shengyi Huang et al.16 citations
- FNeVR: Neural Volume Rendering for Face Animation ↗Bohan Zeng, Hong Li, Hong Li et al.16 citations
- FOF: Learning Fourier Occupancy Field for Monocular Real-Time Human Reconstruction ↗Qiao Feng, Yebin Liu, Kun Li et al.16 citations
- Fault-Aware Neural Code Rankers ↗Jeevana Priya Inala, Chenglong Wang, Mei Yang et al.16 citations
- Few-Shot Image Generation Via Adaptation-Aware Kernel Modulation ↗Yunqing Zhao, Keshigeyan Chandrasegaran, Milad Abdollahzadeh et al.16 citations
- GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions ↗Gene Chou, Ilya Chugunov, Felix Heide16 citations
- Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning ↗Wenhao Ding, Haohong Lin, Bo Li et al.16 citations
- Imbalance Trouble: Revisiting Neural-Collapse Geometry ↗Christos Thrampoulidis, Ganesh Ramachandra Kini, Vala Vakilian et al.16 citations
- Joint Entropy Search for Multi-Objective Bayesian Optimization ↗Ben Tu, Axel Gandy, Nikolas Kantas et al.16 citations
- Latent Hierarchical Causal Structure Discovery with Rank Constraints ↗Biwei Huang, Charles Jia Han Low, Feng Xie et al.16 citations
- Learning Physical Dynamics with Subequivariant Graph Neural Networks ↗Chuang Gan, Wenbing Huang, Hengbo Ma et al.16 citations
- Markovian Interference in Experiments ↗Vivek F. Farias, Andrew Li, Tianyi Peng et al.16 citations
- Model-Based Imitation Learning for Urban Driving ↗Anthony Hu, Gianluca Corrado, Nicolas Griffiths et al.16 citations
- Monte Carlo Tree Search Based Variable Selection for High Dimensional Bayesian Optimization ↗Lei Song, Ke Xue, Xiaobin Huang et al.16 citations
- NAS-Bench-Graph: Benchmarking Graph Neural Architecture Search ↗Yijian Qin, Ziwei Zhang, Xin Eric Wang et al.16 citations
- Neural Basis Models for Interpretability ↗Filip Radenović, Abhimanyu Dubey, Dhruv Mahajan16 citations
- Object Scene Representation Transformer ↗Mehdi S. M. Sajjadi, Daniel Duckworth, Aravindh Mahendran et al.16 citations
- OpenAUC: Towards AUC-Oriented Open-Set Recognition ↗Zitai Wang, Qianqian Xu, Zhiyong Yang et al.16 citations
- OpenFWI: Large-Scale Multi-Structural Benchmark Datasets for Full Waveform Inversion ↗Chengyuan Deng, Shihang Feng, Hanchen Wang et al.16 citations
- Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective ↗Bohang Zhang, Du Jiang, Di He et al.16 citations
- Robust Reinforcement Learning Using Offline Data ↗Kishan Panaganti, Zaiyan Xu, Dileep M. Kalathil et al.16 citations
- Scalable Neural Video Representations with Learnable Positional Features ↗Subin Kim, Sihyun Yu, Jaeho Lee et al.16 citations
- SketchBoost: Fast Gradient Boosted Decision Tree for Multioutput Problems ↗Leonid Iosipoi, Anton Vakhrushev16 citations
- The Franz-Parisi Criterion and Computational Trade-Offs in High Dimensional Statistics ↗Afonso S. Bandeira, Ahmed El Alaoui, Samuel B. Hopkins et al.16 citations
- Towards a Standardised Performance Evaluation Protocol for Cooperative MARL ↗Rihab Gorsane, Omayma Mahjoub, Ruan John de Kock et al.16 citations
- Training with More Confidence: Mitigating Injected and Natural Backdoors During Training ↗Zhenting Wang, Hailun Ding, Juan Zhai et al.16 citations
- Understanding Hyperdimensional Computing for Parallel Single-Pass Learning ↗Tao Yu, Yichi Zhang, Zhiru Zhang et al.16 citations
- A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs ↗Songming Liu, Zhongkai Hao, Chengyang Ying et al.15 citations
- APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction ↗Bencheng Yan, Pengjie Wang, Kai Zhang et al.15 citations
- Agreement-On-The-Line: Predicting the Performance of Neural Networks Under Distribution Shift ↗Christina Baek, Yiding Jiang, Aditi Raghunathan et al.15 citations
- Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again ↗Xinchun Li, Wen-Shu Fan, Shaoming Song et al.15 citations
- Audio-Driven Co-Speech Gesture Video Generation ↗Xian Liu, Qianyi Wu, Hang Zhou et al.15 citations
- Bayesian Active Learning with Fully Bayesian Gaussian Processes ↗Christoffer Riis, Francisco Antunes, Frederik Boe Hüttel et al.15 citations
- Better Uncertainty Calibration Via Proper Scores for Classification and Beyond ↗Sebastian Gruber, Florian Buettner15 citations
- Bridging the Gap Between Object and Image-Level Representations for Open-Vocabulary Detection ↗Hanoona Bangalath, Muhammad Maaz, Muhammad Uzair Khattak et al.15 citations
- Convergence for Score-Based Generative Modeling with Polynomial Complexity ↗Holden Lee, Jianfeng Lu, Yixin Tan15 citations
- DISCO: Adversarial Defense with Local Implicit Functions ↗Chih-Hui Ho, Nuno M. Vasconcelos15 citations
- Exploration-Guided Reward Shaping for Reinforcement Learning Under Sparse Rewards ↗Rati Devidze, Parameswaran Kamalaruban, Adish Kumar Singla15 citations
- FasterRisk: Fast and Accurate Interpretable Risk Scores ↗Jiachang Liu, Chudi Zhong, Boxuan Li et al.15 citations
- FedSR: A Simple and Effective Domain Generalization Method for Federated Learning ↗A. Tuan Nguyen, Philip Torr, Ser Nam Lim15 citations
- Guaranteed Conservation of Momentum for Learning Particle-Based Fluid Dynamics ↗Lukas Prantl, Benjamin Ummenhofer, Vladlen Koltun et al.15 citations
- Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit ↗Boaz Barak, Benjamin Edelman, Surbhi Goel et al.15 citations
- How Transferable Are Video Representations Based on Synthetic Data? ↗Yo-Whan Kim, Samarth Mishra, Souyoung Jin et al.15 citations
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