NeurIPS

Keyphrases

Publications

2022

Jose Pablo Folch, Shiqiang Zhang, Robert M. Lee, Behrang Shafei, David Walz, Calvin Tsay, Mark van der Wilk, Ruth Misener
SnAKe: Bayesian Optimization with Pathwise Exploration. NeurIPS (2022)
Benjamin Coleman, Santiago Segarra, Alexander J. Smola, Anshumali Shrivastava
Graph Reordering for Cache-Efficient Near Neighbor Search. NeurIPS (2022)
Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Richard Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'Aurelio Ranzato, Sagi Perel, Nando de Freitas
Towards Learning Universal Hyperparameter Optimizers with Transformers. NeurIPS (2022)
Xiaotong Yuan, Ping Li
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond. NeurIPS (2022)
Yiqing Xu, Wei Gao, David Hsu
Receding Horizon Inverse Reinforcement Learning. NeurIPS (2022)
Qizhou Wang, Feng Liu, Yonggang Zhang, Jing Zhang, Chen Gong, Tongliang Liu, Bo Han
Watermarking for Out-of-distribution Detection. NeurIPS (2022)
Rylan Schaeffer, Mikail Khona, Ila Fiete
No Free Lunch from Deep Learning in Neuroscience: A Case Study through Models of the Entorhinal-Hippocampal Circuit. NeurIPS (2022)
Yossi Arjevani, Michael Field
Annihilation of Spurious Minima in Two-Layer ReLU Networks. NeurIPS (2022)
Tal Schuster, Adam Fisch, Jai Gupta, Mostafa Dehghani, Dara Bahri, Vinh Tran, Yi Tay, Donald Metzler
Confident Adaptive Language Modeling. NeurIPS (2022)
Yang Ni
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation. NeurIPS (2022)
Jicong Fan, Yiheng Tu, Zhao Zhang, Mingbo Zhao, Haijun Zhang
A Simple Approach to Automated Spectral Clustering. NeurIPS (2022)
Jian Yao, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David P. Wipf, Yanwei Fu, Zheng Zhang
Self-supervised Amodal Video Object Segmentation. NeurIPS (2022)
Kailas Vodrahalli, Tobias Gerstenberg, James Y. Zou
Uncalibrated Models Can Improve Human-AI Collaboration. NeurIPS (2022)
Hanhan Zhou, Tian Lan, Vaneet Aggarwal
PAC: Assisted Value Factorization with Counterfactual Predictions in Multi-Agent Reinforcement Learning. NeurIPS (2022)
Mingyang Liu, Chengjie Wu, Qihan Liu, Yansen Jing, Jun Yang, Pingzhong Tang, Chongjie Zhang
Safe Opponent-Exploitation Subgame Refinement. NeurIPS (2022)
Dominik Peters, Ariel D. Procaccia, David Zhu
Robust Rent Division. NeurIPS (2022)
Leo Kozachkov, Michaela Ennis, Jean-Jacques E. Slotine
RNNs of RNNs: Recursive Construction of Stable Assemblies of Recurrent Neural Networks. NeurIPS (2022)
Miri Zilka, Bradley Butcher, Adrian Weller
A Survey and Datasheet Repository of Publicly Available US Criminal Justice Datasets. NeurIPS (2022)
Jianxin Zhang, Yutong Wang, Clayton Scott
Learning from Label Proportions by Learning with Label Noise. NeurIPS (2022)
Xiang Zhang, Ziyuan Zhao, Theodoros Tsiligkaridis, Marinka Zitnik
Self-Supervised Contrastive Pre-Training For Time Series via Time-Frequency Consistency. NeurIPS (2022)
Tian Yu Liu, Yu Yang, Baharan Mirzasoleiman
Friendly Noise against Adversarial Noise: A Powerful Defense against Data Poisoning Attack. NeurIPS (2022)
Zichang Liu, Benjamin Coleman, Tianyi Zhang, Anshumali Shrivastava
Retaining Knowledge for Learning with Dynamic Definition. NeurIPS (2022)
Xuelong Mi, Mengfan Wang, Alex Chen, Jing-Xuan Lim, Yizhi Wang, Misha B. Ahrens, Guoqiang Yu
BILCO: An Efficient Algorithm for Joint Alignment of Time Series. NeurIPS (2022)
Zhiyu Zhu, Junhui Hou, Xianqiang Lyu
Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds. NeurIPS (2022)
Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu
AttCAT: Explaining Transformers via Attentive Class Activation Tokens. NeurIPS (2022)
Nilesh Gupta, Patrick H. Chen, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
ELIAS: End-to-End Learning to Index and Search in Large Output Spaces. NeurIPS (2022)
Jon Hasselgren, Nikolai Hofmann, Jacob Munkberg
Shape, Light, and Material Decomposition from Images using Monte Carlo Rendering and Denoising. NeurIPS (2022)
Xinwei Zhang, Jianwen Jiang, Yutong Feng, Zhi-Fan Wu, Xibin Zhao, Hai Wan, Mingqian Tang, Rong Jin, Yue Gao
Grow and Merge: A Unified Framework for Continuous Categories Discovery. NeurIPS (2022)
Piotr Indyk, Sandeep Silwal
Faster Linear Algebra for Distance Matrices. NeurIPS (2022)
Andrew Luo, Yilun Du, Michael J. Tarr, Josh Tenenbaum, Antonio Torralba, Chuang Gan
Learning Neural Acoustic Fields. NeurIPS (2022)
Ankit Goyal, Alexey Bochkovskiy, Jia Deng, Vladlen Koltun
Non-deep Networks. NeurIPS (2022)
Enric Boix-Adserà, Hannah Lawrence, George Stepaniants, Philippe Rigollet
GULP: a prediction-based metric between representations. NeurIPS (2022)
Marc Rigter, Bruno Lacerda, Nick Hawes
RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning. NeurIPS (2022)
Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander J. Ratner
Understanding Programmatic Weak Supervision via Source-aware Influence Function. NeurIPS (2022)
Zhuofan Ying, Peter Hase, Mohit Bansal
VisFIS: Visual Feature Importance Supervision with Right-for-the-Right-Reason Objectives. NeurIPS (2022)
Rahul Jain, Georgios Piliouras, Ryann Sim
Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence. NeurIPS (2022)
Ibrahim M. Alabdulmohsin, Behnam Neyshabur, Xiaohua Zhai
Revisiting Neural Scaling Laws in Language and Vision. NeurIPS (2022)
Alexander Kolesnikov, André Susano Pinto, Lucas Beyer, Xiaohua Zhai, Jeremiah Harmsen, Neil Houlsby
UViM: A Unified Modeling Approach for Vision with Learned Guiding Codes. NeurIPS (2022)
Zohar Rimon, Aviv Tamar, Gilad Adler
Meta Reinforcement Learning with Finite Training Tasks - a Density Estimation Approach. NeurIPS (2022)
Kimia Noorbakhsh, Manuel Gomez-Rodriguez
Counterfactual Temporal Point Processes. NeurIPS (2022)
Jack Lindsey, Ashok Litwin-Kumar
Action-modulated midbrain dopamine activity arises from distributed control policies. NeurIPS (2022)
Xiuying Wei, Yunchen Zhang, Xiangguo Zhang, Ruihao Gong, Shanghang Zhang, Qi Zhang, Fengwei Yu, Xianglong Liu
Outlier Suppression: Pushing the Limit of Low-bit Transformer Language Models. NeurIPS (2022)
Hao Sun, Lei Han, Rui Yang, Xiaoteng Ma, Jian Guo, Bolei Zhou
Exploit Reward Shifting in Value-Based Deep-RL: Optimistic Curiosity-Based Exploration and Conservative Exploitation via Linear Reward Shaping. NeurIPS (2022)
Philip Amortila, Nan Jiang, Dhruv Madeka, Dean P. Foster
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation. NeurIPS (2022)
Yongsen Mao, Yiming Zhang, Hanxiao Jiang, Angel X. Chang, Manolis Savva
MultiScan: Scalable RGBD scanning for 3D environments with articulated objects. NeurIPS (2022)
David Bertoin, Adil Zouitine, Mehdi Zouitine, Emmanuel Rachelson
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning. NeurIPS (2022)
Wenhao Zhang, Ying Nian Wu, Si Wu
Translation-equivariant Representation in Recurrent Networks with a Continuous Manifold of Attractors. NeurIPS (2022)
Marvin Zhang, Sergey Levine, Chelsea Finn
MEMO: Test Time Robustness via Adaptation and Augmentation. NeurIPS (2022)
Quanliang Wu, Huajun Liu
Unsupervised Domain Adaptation for Semantic Segmentation using Depth Distribution. NeurIPS (2022)
Debarun Bhattacharjya, Radu Marinescu
Hedging as Reward Augmentation in Probabilistic Graphical Models. NeurIPS (2022)