NeurIPS 2022

2,834 papers

Iterative Structural Inference of Directed Graphs

Aoran Wang, Jun Pang

Semantic Diffusion Network for Semantic Segmentation

Haoru Tan, Sitong Wu, Jimin Pi

FedPop: A Bayesian Approach for Personalised Federated Learning

Nikita Kotelevskii, Maxime Vono, Alain Durmus, Eric Moulines

Autoinverse: Uncertainty Aware Inversion of Neural Networks

Navid Ansari, Hans-peter Seidel, Nima Vahidi Ferdowsi, Vahid Babaei

Single Model Uncertainty Estimation via Stochastic Data Centering

Jayaraman Thiagarajan, Rushil Anirudh, Vivek Sivaraman Narayanaswamy, Timo Bremer

Formulating Robustness Against Unforeseen Attacks

Sihui Dai, Saeed Mahloujifar, Prateek Mittal

Video Diffusion Models

Jonathan Ho, Tim Salimans, Alexey Gritsenko, William Chan, Mohammad Norouzi

Better Uncertainty Calibration via Proper Scores for Classification and Beyond

Sebastian Gruber, Florian Buettner

Generalization Bounds for Estimating Causal Effects of Continuous Treatments

Xin Wang, Shengfei Lyu, Xingyu Wu, Tianhao Wu, Huanhuan Chen

A Closer Look at Offline RL Agents

Yuwei Fu, Di Wu, Benoit Boulet

Private Isotonic Regression

Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi

WT-MVSNet: Window-based Transformers for Multi-view Stereo

Jinli Liao, Yikang Ding, Yoli Shavit, Dihe Huang, Shihao Ren

Residual Multiplicative Filter Networks for Multiscale Reconstruction

Shayan Shekarforoush, David Lindell, David J Fleet, Marcus A Brubaker

Towards Consistency in Adversarial Classification

Laurent Meunier, Raphael Ettedgui, Rafael Pinot, Yann Chevaleyre, Jamal Atif

Calibrated Data-Dependent Constraints with Exact Satisfaction Guarantees

Songkai Xue, Yuekai Sun, Mikhail Yurochkin

Empirical Gateaux Derivatives for Causal Inference

Michael I. Jordan, Yixin Wang, Angela Zhou

3DB: A Framework for Debugging Computer Vision Models

Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners

Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei

Truly Deterministic Policy Optimization

Ehsan Saleh, Saba Ghaffari, Tim Bretl, Matthew West

Anonymized Histograms in Intermediate Privacy Models

Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi

GAR: Generalized Autoregression for Multi-Fidelity Fusion

Yuxin Wang, Zheng Xing, Wei Xing

RecursiveMix: Mixed Learning with History

Lingfeng Yang, Xiang Li, Borui Zhao, Renjie Song, Jian Yang

Neural Basis Models for Interpretability

Filip Radenovic, Abhimanyu Dubey, Dhruv Mahajan

Zonotope Domains for Lagrangian Neural Network Verification

Matt Jordan, Jonathan Hayase, Alex Dimakis, Sewoong Oh

KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation

Ta-Chung Chi, Ting-Han Fan, Alexander Rudnicky, Peter J. Ramadge, Peter J Ramadge

Rethinking Knowledge Graph Evaluation Under the Open-World Assumption

Haotong Yang, Zhouchen Lin, Muhan Zhang

Thor: Wielding Hammers to Integrate Language Models and Automated Theorem Provers

Albert Qiaochu Jiang, Wenda Li, Szymon Tworkowski, Konrad Czechowski, Tomasz Odrzygóźdź

A Scalable Deterministic Global Optimization Algorithm for Training Optimal Decision Tree

Kaixun Hua, Jiayang Ren, Yankai Cao

Could Giant Pre-trained Image Models Extract Universal Representations?

Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng

Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits

Tong Mu, Yash Chandak, Tatsunori B Hashimoto, Emma Brunskill

ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward

Zixian Ma, Rose Wang, Fei-Fei Li, Michael Bernstein, Ranjay Krishna

Vision GNN: An Image is Worth Graph of Nodes

Kai Han, Yunhe Wang, Jianyuan Guo, Yehui Tang, Enhua Wu

Is L^2 Physics Informed Loss Always Suitable for Training Physics Informed Neural Network?

Chuwei Wang, Shanda Li, Di He, Liwei Wang

Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization

Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong

LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation

Geon-hyeong Kim, Jongmin Lee, Youngsoo Jang, Hongseok Yang, Kee-eung Kim

Forward-Backward Latent State Inference for Hidden Continuous-Time semi-Markov Chains

Nicolai Engelmann, Heinz Koeppl

DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization

Kevin Bello, Bryon Aragam, Pradeep K Ravikumar, Pradeep K. Ravikumar

Gradient Descent: The Ultimate Optimizer

Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, ERIK MEIJER

Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems

Eric Yu, Zhizhen Qin, Min Kyung Lee, Sicun Gao

Grounded Video Situation Recognition

Zeeshan Khan, C.V. Jawahar, Makarand Tapaswi

Learning Deep Input-Output Stable Dynamics

Ryosuke Kojima, Yuji Okamoto

Attention-based Neural Cellular Automata

Mattie Tesfaldet, Derek Nowrouzezahrai, Chris Pal

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation

Chenze Shao, Yang Feng

INRAS: Implicit Neural Representation for Audio Scenes

Kun Su, Mingfei Chen, Eli Shlizerman

Recovering Private Text in Federated Learning of Language Models

Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li

Log-Linear-Time Gaussian Processes Using Binary Tree Kernels

Michael K. Cohen, Samuel Daulton, Michael A Osborne

SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning

Haobo Wang, Mingxuan Xia, Yixuan Li, Yuren Mao, Lei Feng

Touch and Go: Learning from Human-Collected Vision and Touch

Fengyu Yang, Chenyang Ma, Jiacheng Zhang, Jing Zhu, Wenzhen Yuan

Handcrafted Backdoors in Deep Neural Networks

Sanghyun Hong, Nicholas Carlini, Alexey Kurakin

Spherical Channels for Modeling Atomic Interactions

Larry Zitnick, Abhishek Das, Adeesh Kolluru, Janice Lan, Muhammed Shuaibi

High-dimensional Additive Gaussian Processes under Monotonicity Constraints

Andrés López-Lopera, Francois Bachoc, Olivier Roustant

Consistent Sufficient Explanations and Minimal Local Rules for explaining the decision of any classifier or regressor

Salim I. Amoukou, Nicolas Brunel

Non-Convex Bilevel Games with Critical Point Selection Maps

Michael Arbel, Julien Mairal

Parameter-free Regret in High Probability with Heavy Tails

Jiujia Zhang, Ashok Cutkosky

Distributed Distributionally Robust Optimization with Non-Convex Objectives

Yang Jiao, Kai Yang, Dongjin Song

A Solver-free Framework for Scalable Learning in Neural ILP Architectures

Yatin Nandwani, Rishabh Ranjan, Parag Singla, Mausam, - Mausam

Fused Orthogonal Alternating Least Squares for Tensor Clustering

Jiacheng Wang, Dan Nicolae

Transform Once: Efficient Operator Learning in Frequency Domain

Michael Poli, Stefano Massaroli, Federico Berto, Jinkyoo Park, Tri Dao

A Consistent and Differentiable Lp Canonical Calibration Error Estimator

Teodora Popordanoska, Raphael Sayer, Matthew Blaschko

Improving 3D-aware Image Synthesis with A Geometry-aware Discriminator

Zifan Shi, Yinghao Xu, Yujun Shen, Deli Zhao, Qifeng Chen

Learning Optical Flow from Continuous Spike Streams

Rui Zhao, Ruiqin Xiong, Jing Zhao, Zhaofei Yu, Xiaopeng Fan

MACK: Multimodal Aligned Conceptual Knowledge for Unpaired Image-text Matching

Yan Huang, Yuming Wang, Yunan Zeng, Liang Wang

Multiview Human Body Reconstruction from Uncalibrated Cameras

Zhixuan Yu, Linguang Zhang, Yuanlu Xu, Chengcheng Tang, LUAN TRAN

Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering

An Zhang, Wenchang Ma, Xiang Wang, Tat-Seng Chua

FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning

Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu

Meta-Reinforcement Learning with Self-Modifying Networks

Mathieu Chalvidal, Thomas Serre, Rufin VanRullen

Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective

Ruofan Liu, Yun Lin, XIANGLIN YANG, Jin Song Dong

Implications of Model Indeterminacy for Explanations of Automated Decisions

Marc-Etienne Brunet, Ashton Anderson, Richard S. Zemel

Path Independent Equilibrium Models Can Better Exploit Test-Time Computation

Cem Anil, Ashwini Pokle, Kaiqu Liang, Johannes Treutlein, Yuhuai Wu

Evaluating Graph Generative Models with Contrastively Learned Features

Hamed Shirzad, Kaveh Hassani, Danica J. Sutherland

3D Concept Grounding on Neural Fields

Yining Hong, Yilun Du, Chunru Lin, Josh Tenenbaum, Chuang Gan

CLEVRER-Humans: Describing Physical and Causal Events the Human Way

Jiayuan Mao, Xuelin Yang, Xikun Zhang, Noah Goodman, Jiajun Wu

Neural Attentive Circuits

Martin Weiss, Nasim Rahaman, Francesco Locatello, Chris Pal, Yoshua Bengio

VER: Scaling On-Policy RL Leads to the Emergence of Navigation in Embodied Rearrangement

Erik Wijmans, Irfan A. Essa, Dhruv Batra

Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method

Ho Huu Nghia Nguyen, Tan Nguyen, Huyen Vo, Stanley Osher, Thieu Vo

On the SDEs and Scaling Rules for Adaptive Gradient Algorithms

Sadhika Malladi, Kaifeng Lyu, Abhishek Panigrahi, Sanjeev Arora

A gradient estimator via L1-randomization for online zero-order optimization with two point feedback

Arya Akhavan, Evgenii Chzhen, Massimiliano Pontil, Alexandre Tsybakov

Continual Learning with Evolving Class Ontologies

Zhiqiu Lin, Deepak Pathak, Yu-Xiong Wang, Deva Ramanan, Shu Kong

Explainability Via Causal Self-Talk

Nicholas A. Roy, Junkyung Kim, Neil Rabinowitz

LAMP: Extracting Text from Gradients with Language Model Priors

Mislav Balunovic, Dimitar Dimitrov, Nikola Jovanović, Martin Vechev

Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization

Simone Bombari, Mohammad Hossein Amani, Marco Mondelli

CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations

Kai Yan, Alex Schwing, Yu-Xiong Wang

A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning

Eloïse Berthier, Ziad Kobeissi, Francis R. Bach

Society of Agents: Regret Bounds of Concurrent Thompson Sampling

Yan Chen, Perry Dong, Qinxun Bai, Maria Dimakopoulou, Wei Xu

Egocentric Video-Language Pretraining

Kevin Qinghong Lin, Jinpeng Wang, Mattia Soldan, Michael Wray, Rui Yan

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again

AJAY JAISWAL, Peihao Wang, Tianlong Chen, Justin Rousseau, Ying Ding

Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks

Shengming Yuan, Qilong Zhang, Lianli Gao, Yaya Cheng, Jingkuan Song

Trading Off Resource Budgets For Improved Regret Bounds

Thomas Orton, Damon Falck

Enhance the Visual Representation via Discrete Adversarial Training

Xiaofeng Mao, YueFeng Chen, Ranjie Duan, Yao Zhu, Gege Qi

Grounded Reinforcement Learning: Learning to Win the Game under Human Commands

Shusheng Xu, Huaijie Wang, Yi Wu

Systematic improvement of neural network quantum states using Lanczos

Hongwei Chen, Douglas Hendry, Phillip Weinberg, Adrian Feiguin

Efficient and Near-Optimal Smoothed Online Learning for Generalized Linear Functions

Adam Block, Max Simchowitz

Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds

Zhiyu Zhu, Junhui Hou, Xianqiang Lyu

Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis

Tim Pearce, Jong-Hyeon Jeong, yichen jia, Jun Zhu

Staggered Rollout Designs Enable Causal Inference Under Interference Without Network Knowledge

Mayleen Cortez, Matthew Eichhorn, Christina Yu

RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer

Jian Wang, Chenhui Gou, Qiman Wu, Haocheng Feng, Junyu Han

Rate-Optimal Online Convex Optimization in Adaptive Linear Control

Asaf Benjamin Cassel, Alon Peled-Cohen, Tomer Koren

FOF: Learning Fourier Occupancy Field for Monocular Real-time Human Reconstruction

Qiao Feng, Yebin Liu, Yu-Kun Lai, Jingyu Yang, Kun Li

Out-of-Distribution Detection with An Adaptive Likelihood Ratio on Informative Hierarchical VAE

Yewen Li, Chaojie Wang, Xiaobo Xia, Tongliang Liu, xin miao

Spectral Bias in Practice: The Role of Function Frequency in Generalization

Sara Fridovich-Keil, Raphael Gontijo Lopes, Rebecca Roelofs