NeurIPS 2022

2,834 papers

Constants of motion network

Muhammad Firmansyah Kasim, Yi Heng Lim

LAION-5B: An open large-scale dataset for training next generation image-text models

Christoph Schuhmann, Romain Beaumont, Richard Vencu, Cade Gordon, Ross Wightman

Meta-ticket: Finding optimal subnetworks for few-shot learning within randomly initialized neural networks

Daiki Chijiwa, Shin'ya Yamaguchi, Atsutoshi Kumagai, Yasutoshi Ida

Discovery of Single Independent Latent Variable

Uri Shaham, Jonathan Svirsky, Ori Katz, Ronen Talmon

Benign Overfitting in Two-layer Convolutional Neural Networks

Yuan Cao, Zixiang Chen, Misha Belkin, Quanquan Gu

FourierNets enable the design of highly non-local optical encoders for computational imaging

Diptodip Deb, Zhenfei Jiao, Ruth Sims, Alex Chen, Michael Broxton

LieGG: Studying Learned Lie Group Generators

Artem Moskalev, Anna Sepliarskaia, Ivan Sosnovik, Arnold Smeulders

LGDN: Language-Guided Denoising Network for Video-Language Modeling

Haoyu Lu, Mingyu Ding, Nanyi Fei, Yuqi Huo, Zhiwu Lu

Learning and Covering Sums of Independent Random Variables with Unbounded Support

Alkis Kalavasis, Konstantinos Stavropoulos, Emmanouil Zampetakis

Deep Active Learning by Leveraging Training Dynamics

Haonan Wang, Wei Huang, Ziwei Wu, Hanghang Tong, Andrew J Margenot

Luckiness in Multiscale Online Learning

Wouter M. Koolen, Muriel F. Pérez-Ortiz

One Model to Edit Them All: Free-Form Text-Driven Image Manipulation with Semantic Modulations

Yiming Zhu, Hongyu Liu, Yibing Song, Ziyang Yuan, Xintong Han

Product Ranking for Revenue Maximization with Multiple Purchases

Renzhe Xu, Xingxuan Zhang, Bo Li, Yafeng Zhang, Xiaolong Chen

Mask-based Latent Reconstruction for Reinforcement Learning

Tao Yu, Zhizheng Zhang, Cuiling Lan, Yan Lu, Zhibo Chen

GAUDI: A Neural Architect for Immersive 3D Scene Generation

Miguel Angel Bautista, Pengsheng Guo, Samira Abnar, Walter Talbott, Alexander Toshev

Improving Zero-Shot Generalization in Offline Reinforcement Learning using Generalized Similarity Functions

Bogdan Mazoure, Ilya Kostrikov, Ofir Nachum, Jonathan J Tompson

Compositional Generalization in Unsupervised Compositional Representation Learning: A Study on Disentanglement and Emergent Language

Zhenlin Xu, Marc Niethammer, Colin A Raffel

TreeMoCo: Contrastive Neuron Morphology Representation Learning

Hanbo Chen, Jiawei Yang, Daniel Iascone, Lijuan Liu, Lei He

Reduction Algorithms for Persistence Diagrams of Networks: CoralTDA and PrunIT

Cuneyt G Akcora, Murat Kantarcioglu, Yulia Gel, Baris Coskunuzer

OpenAUC: Towards AUC-Oriented Open-Set Recognition

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao

MonoSDF: Exploring Monocular Geometric Cues for Neural Implicit Surface Reconstruction

Zehao Yu, Songyou Peng, Michael Niemeyer, Torsten Sattler, Andreas Geiger

Visual Prompting via Image Inpainting

Amir Bar, Yossi Gandelsman, Trevor Darrell, Amir Globerson, Alexei Efros

On Embeddings for Numerical Features in Tabular Deep Learning

Yury Gorishniy, Ivan Rubachev, Artem Babenko

Differentiable hierarchical and surrogate gradient search for spiking neural networks

Kaiwei Che, Luziwei Leng, Kaixuan Zhang, Jianguo Zhang, Qinghu Meng

Asymptotics of ℓ_2 Regularized Network Embeddings

Andrew Davison

Stochastic Online Learning with Feedback Graphs: Finite-Time and Asymptotic Optimality

Teodor Vanislavov Marinov, Mehryar Mohri, Julian Zimmert

Debiasing Graph Neural Networks via Learning Disentangled Causal Substructure

Shaohua Fan, Xiao Wang, Yanhu Mo, Chuan Shi, Jian Tang

Forecasting Human Trajectory from Scene History

Mancheng Meng, Ziyan Wu, Terrence Chen, Xiran Cai, Xiang Zhou

GenSDF: Two-Stage Learning of Generalizable Signed Distance Functions

Gene Chou, Ilya Chugunov, Felix Heide

Gradient Descent Is Optimal Under Lower Restricted Secant Inequality And Upper Error Bound

Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud, Ioannis Mitliagkas

Optimal Dynamic Regret in LQR Control

Dheeraj Baby, Yu-Xiang Wang

Dungeons and Data: A Large-Scale NetHack Dataset

Eric Hambro, Roberta Raileanu, Danielle Rothermel, Vegard Mella, Tim Rocktäschel

Polynomial-Time Optimal Equilibria with a Mediator in Extensive-Form Games

Brian Zhang, Tuomas Sandholm

House of Cans: Covert Transmission of Internal Datasets via Capacity-Aware Neuron Steganography

Xudong Pan, Shengyao Zhang, Mi Zhang, Yifan Yan, Min Yang

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter

Counterfactual Temporal Point Processes

Kimia Noorbakhsh, Manuel Rodriguez

The Mechanism of Prediction Head in Non-contrastive Self-supervised Learning

Zixin Wen, Yuanzhi Li

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training

Jianhao Ding, Tong Bu, Zhaofei Yu, Tiejun Huang, Jian Liu

Stochastic Halpern Iteration with Variance Reduction for Stochastic Monotone Inclusions

Xufeng Cai, Chaobing Song, Cristóbal Guzmán, Jelena Diakonikolas

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

Rong-Jun Qin, Xingyuan Zhang, Songyi Gao, Xiong-Hui Chen, Zewen Li

APG: Adaptive Parameter Generation Network for Click-Through Rate Prediction

Bencheng Yan, Pengjie Wang, Kai Zhang, Feng Li, Hongbo Deng

Characteristics of Harmful Text: Towards Rigorous Benchmarking of Language Models

Maribeth Rauh, John Mellor, Jonathan Uesato, Po-Sen Huang, Johannes Welbl

Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost

Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee

Shape And Structure Preserving Differential Privacy

Carlos Soto, Karthik Bharath, Matthew Reimherr, Aleksandra Slavković

GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization

Xuhai Xu, Han Zhang, Yasaman Sefidgar, Yiyi Ren, Xin Liu

Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos

Bowen Baker, Ilge Akkaya, Peter Zhokov, Joost Huizinga, Jie Tang

Resolving the data ambiguity for periodic crystals

Daniel Widdowson, Vitaliy Kurlin

The Surprising Effectiveness of PPO in Cooperative Multi-Agent Games

Chao Yu, Akash Velu, Eugene Vinitsky, Jiaxuan Gao, Yu Wang

OST: Improving Generalization of DeepFake Detection via One-Shot Test-Time Training

Liang Chen, Yong Zhang, Yibing Song, Jue Wang, Lingqiao Liu

Near-Optimal Regret Bounds for Multi-batch Reinforcement Learning

Zihan Zhang, Yuhang Jiang, Yuan Zhou, Xiangyang Ji

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions

Lingjiao Chen, Zhihua Jin, Evan Sabri Eyuboglu, Christopher Re, Matei Zaharia

Active Surrogate Estimators: An Active Learning Approach to Label-Efficient Model Evaluation

Jannik Kossen, Sebastian Farquhar, Yarin Gal, Thomas Rainforth

Random Sharpness-Aware Minimization

Yong Liu, Siqi Mai, Minhao Cheng, Xiangning Chen, Cho-jui Hsieh

ZIN: When and How to Learn Invariance Without Environment Partition?

Yong Lin, Shengyu Zhu, Lu Tan, Peng Cui

Towards Improving Faithfulness in Abstractive Summarization

Xiuying Chen, Mingzhe Li, Xin Gao, Xiangliang Zhang

Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning

Arsene Fansi Tchango, Rishab Goel, Julien Martel, Zhi Wen, Gaetan Marceau Caron

EpiGRAF: Rethinking training of 3D GANs

Ivan Skorokhodov, Sergey Tulyakov, Yiqun Wang, Peter Wonka

FeLMi : Few shot Learning with hard Mixup

Aniket Roy, Anshul Shah, Ketul Shah, Prithviraj Dhar, Anoop Cherian

An Adaptive Kernel Approach to Federated Learning of Heterogeneous Causal Effects

Thanh Vinh Vo, Arnab Bhattacharyya, Young Lee, Tze-Yun Leong

Exact Solutions of a Deep Linear Network

Liu Ziyin, Botao Li, Xiangming Meng

Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm

Ashish K Jayant, Shalabh Bhatnagar

Lower Bounds on Randomly Preconditioned Lasso via Robust Sparse Designs

Jonathan Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi

New Lower Bounds for Private Estimation and a Generalized Fingerprinting Lemma

Gautam Kamath, Argyris Mouzakis, Vikrant Singhal

Group Meritocratic Fairness in Linear Contextual Bandits

Riccardo Grazzi, Arya Akhavan, John IF Falk, Leonardo Cella, Massimiliano Pontil

Finite Sample Analysis Of Dynamic Regression Parameter Learning

Mark Kozdoba, Edward Moroshko, Shie Mannor, Yacov Crammer

Smoothed Embeddings for Certified Few-Shot Learning

Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets

Bezier Gaussian Processes for Tall and Wide Data

Martin Jørgensen, Michael A Osborne

Mining Unseen Classes via Regional Objectness: A Simple Baseline for Incremental Segmentation

Zekang Zhang, Guangyu Gao, Zhiyuan Fang, Jianbo Jiao, Yunchao Wei

Heatmap Distribution Matching for Human Pose Estimation

Haoxuan Qu, Li Xu, Yujun Cai, Lin Geng Foo, Jun Liu

Proximal Point Imitation Learning

Luca Viano, Angeliki Kamoutsi, Gergely Neu, Igor Krawczuk, Volkan Cevher

Iterative Scene Graph Generation

Siddhesh Khandelwal, Leonid Sigal

On the Limitations of Stochastic Pre-processing Defenses

Yue Gao, I Shumailov, Kassem Fawaz, Nicolas Papernot

AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators

Wenkai Xu, Gesine D Reinert

LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language Models

Mojan Javaheripi, Gustavo de Rosa, Subhabrata Mukherjee, Shital Shah, Tomasz Religa

Torsional Diffusion for Molecular Conformer Generation

Bowen Jing, Gabriele Corso, Jeffrey Chang, Regina Barzilay, Tommi Jaakkola

Domain Generalization by Learning and Removing Domain-specific Features

Yu Ding, Lei Wang, Bin Liang, Shuming Liang, Yang Wang

Single-phase deep learning in cortico-cortical networks

Will Greedy, Heng Wei Zhu, Joseph Pemberton, Jack Mellor, Rui Ponte Costa

Active Learning Polynomial Threshold Functions

Omri Ben-Eliezer, Max Hopkins, Chutong Yang, Hantao Yu

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning

Shikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge

Curious Exploration via Structured World Models Yields Zero-Shot Object Manipulation

Cansu Sancaktar, Sebastian Blaes, Georg Martius

Posted Pricing and Dynamic Prior-independent Mechanisms with Value Maximizers

Yuan Deng, Vahab Mirrokni, Hanrui Zhang

Dual-discriminative Graph Neural Network for Imbalanced Graph-level Anomaly Detection

Ge Zhang, Zhenyu Yang, Jia Wu, Jian Yang, Shan Xue

Interventions, Where and How? Experimental Design for Causal Models at Scale

Panagiotis Tigas, Yashas Annadani, Andrew Jesson, Bernhard Schölkopf, Yarin Gal

SurDis: A Surface Discontinuity Dataset for Wearable Technology to Assist Blind Navigation in Urban Environments

Kuan Yew Leong, Siew Mooi Lim

A Fast Post-Training Pruning Framework for Transformers

Woosuk Kwon, Sehoon Kim, Michael W. Mahoney, Joseph Hassoun, Kurt Keutzer

Pluralistic Image Completion with Gaussian Mixture Models

Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan

Extracting computational mechanisms from neural data using low-rank RNNs

Adrian Valente, Jonathan W Pillow, Srdjan Ostojic

Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization

Jonathan Wilton, Abigail Koay, Ryan Ko, Miao Xu, Nan Ye

Structure-Aware Image Segmentation with Homotopy Warping

Xiaoling Hu

List-Decodable Sparse Mean Estimation

Shiwei Zeng, Jie Shen

MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning

Yao Lai, Yao Mu, Ping Luo

SQ Lower Bounds for Learning Single Neurons with Massart Noise

Ilias Diakonikolas, Daniel Kane, Lisheng Ren, Yuxin Sun

Neur2SP: Neural Two-Stage Stochastic Programming

Rahul Mihir Patel, Justin Dumouchelle, Elias Khalil, Merve Bodur

Beyond IID: data-driven decision-making in heterogeneous environments

Omar Besbes, Will Ma, Omar Mouchtaki

Fair Rank Aggregation

Diptarka Chakraborty, Syamantak Das, Arindam Khan, Aditya Subramanian

A Robust Phased Elimination Algorithm for Corruption-Tolerant Gaussian Process Bandits

Ilija Bogunovic, Zihan Li, Andreas Krause, Jonathan Scarlett

Optimal Comparator Adaptive Online Learning with Switching Cost

Zhiyu Zhang, Ashok Cutkosky, Yannis Paschalidis

Polynomial time guarantees for the Burer-Monteiro method

Diego Cifuentes, Ankur Moitra

Decoupling Knowledge from Memorization: Retrieval-augmented Prompt Learning

Xiang Chen, Lei Li, Ningyu Zhang, Xiaozhuan Liang, Shumin Deng

Zero-Shot 3D Drug Design by Sketching and Generating

Siyu Long, Yi Zhou, Xinyu Dai, Hao Zhou