NeurIPS 2023

3,540 papers

Primal-Attention: Self-attention through Asymmetric Kernel SVD in Primal Representation

Yingyi Chen, Qinghua Tao, Francesco Tonin, Johan Suykens

Learning Human Action Recognition Representations Without Real Humans

Howard Zhong, Samarth Mishra, Donghyun Kim, SouYoung Jin, Rameswar Panda

Don’t just prune by magnitude! Your mask topology is a secret weapon

Duc Hoang, Souvik Kundu, Shiwei Liu, Zhangyang "Atlas" Wang

Grammar Prompting for Domain-Specific Language Generation with Large Language Models

bailin wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous

Leveraging the two-timescale regime to demonstrate convergence of neural networks

Pierre Marion, Raphaël Berthier

Lossy Image Compression with Conditional Diffusion Models

Ruihan Yang, Stephan Mandt

Assessor360: Multi-sequence Network for Blind Omnidirectional Image Quality Assessment

Tianhe Wu, Shuwei Shi, Haoming Cai, Mingdeng Cao, Jing Xiao

Single-Call Stochastic Extragradient Methods for Structured Non-monotone Variational Inequalities: Improved Analysis under Weaker Conditions

Sayantan Choudhury, Eduard Gorbunov, Nicolas Loizou

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang

Group Fairness in Peer Review

Haris Aziz, Evi Micha, Nisarg Shah

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite

Artur Toshev, Gianluca Galletti, Fabian Fritz, Stefan Adami, Nikolaus Adams

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics

Atul Kumar Sinha, Daniele Paliotta, Bálint Máté, John Raine, Tobias Golling

Neural Circuits for Fast Poisson Compressed Sensing in the Olfactory Bulb

Jacob Zavatone-Veth, Paul Masset, William Tong, Joseph D. Zak, Venkatesh Murthy

Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions

Jun Xia, Lecheng Zhang, Xiao Zhu, Yue Liu, Zhangyang Gao

SGFormer: Simplifying and Empowering Transformers for Large-Graph Representations

Qitian Wu, Wentao Zhao, Chenxiao Yang, Hengrui Zhang, Fan Nie

Homotopy-based training of NeuralODEs for accurate dynamics discovery

Joon-Hyuk Ko, Hankyul Koh, Nojun Park, Wonho Jhe

Learning List-Level Domain-Invariant Representations for Ranking

Ruicheng Xian, Honglei Zhuang, Zhen Qin, Hamed Zamani, Jing LU

Learning to Parameterize Visual Attributes for Open-set Fine-grained Retrieval

Shijie Wang, Jianlong Chang, Haojie Li, Zhihui Wang, Wanli Ouyang

Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models

Beier Zhu, Kaihua Tang, Qianru Sun, Hanwang Zhang

Streaming PCA for Markovian Data

Syamantak Kumar, Purnamrita Sarkar

Simple, Scalable and Effective Clustering via One-Dimensional Projections

Moses Charikar, Monika Henzinger, Lunjia Hu, Maximilian Vötsch, Erik Waingarten

A Unified Model and Dimension for Interactive Estimation

Nataly Brukhim, Miro Dudik, Aldo Pacchiano, Robert E. Schapire

Reward Imputation with Sketching for Contextual Batched Bandits

Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang

Class-Conditional Conformal Prediction with Many Classes

Tiffany Ding, Anastasios Angelopoulos, Stephen Bates, Michael I. Jordan, Ryan J Tibshirani

Lo-Hi: Practical ML Drug Discovery Benchmark

Simon Steshin

A graphon-signal analysis of graph neural networks

Ron Levie

LuminAIRe: Illumination-Aware Conditional Image Repainting for Lighting-Realistic Generation

Jiajun Tang, Haofeng Zhong, Shuchen Weng, Boxin Shi

Efficient Uncertainty Quantification and Reduction for Over-Parameterized Neural Networks

Ziyi Huang, Henry Lam, Haofeng Zhang

GMSF: Global Matching Scene Flow

Yushan Zhang, Johan Edstedt, Bastian Wandt, Per-Erik Forssen, Maria Magnusson

On the spectral bias of two-layer linear networks

Aditya Vardhan Varre, Maria-Luiza Vladarean, Loucas Pillaud-Vivien, Nicolas Flammarion

ProteinGym: Large-Scale Benchmarks for Protein Fitness Prediction and Design

Pascal Notin, Aaron Kollasch, Daniel Ritter, Lood van Niekerk, Steffanie Paul

Occ3D: A Large-Scale 3D Occupancy Prediction Benchmark for Autonomous Driving

Xiaoyu Tian, Tao Jiang, Longfei Yun, Yucheng Mao, Huitong Yang

TopoSRL: Topology preserving self-supervised Simplicial Representation Learning

Hiren Madhu, Sundeep Prabhakar Chepuri

Efficient Sampling of Stochastic Differential Equations with Positive Semi-Definite Models

Anant Raj, Umut Simsekli, Alessandro Rudi

An information-theoretic quantification of the content of communication between brain regions

Marco Celotto, Jan Bím, Alejandro Tlaie, Vito De Feo, Alessandro Toso

On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training

Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei W Koh, Alexander J Ratner

GPEX, A Framework For Interpreting Artificial Neural Networks

Amir Hossein Hosseini Akbarnejad, Gilbert Bigras, Nilanjan Ray

A Bayesian Approach To Analysing Training Data Attribution In Deep Learning

Elisa Nguyen, Minjoon Seo, Seong Joon Oh

Post-processing Private Synthetic Data for Improving Utility on Selected Measures

Hao Wang, Shivchander Sudalairaj, John Henning, Kristjan Greenewald, Akash Srivastava

Generator Identification for Linear SDEs with Additive and Multiplicative Noise

Yuanyuan Wang, Xi Geng, Wei Huang, Biwei Huang, Mingming Gong

Accelerated Zeroth-order Method for Non-Smooth Stochastic Convex Optimization Problem with Infinite Variance

Nikita Kornilov, Ohad Shamir, Aleksandr Lobanov, Darina Dvinskikh, Alexander Gasnikov

Dis-inhibitory neuronal circuits can control the sign of synaptic plasticity

Julian Rossbroich, Friedemann Zenke

Spike-driven Transformer

Man Yao, JiaKui Hu, Zhaokun Zhou, Li Yuan, Yonghong Tian

ClusterFomer: Clustering As A Universal Visual Learner

James Liang, Yiming Cui, Qifan Wang, Tong Geng, Wenguan Wang

Meta-Learning with Neural Bandit Scheduler

Yunzhe Qi, Yikun Ban, Tianxin Wei, Jiaru Zou, Huaxiu Yao

Bayesian Active Causal Discovery with Multi-Fidelity Experiments

Zeyu Zhang, Chaozhuo Li, Xu Chen, Xing Xie

Fast Scalable and Accurate Discovery of DAGs Using the Best Order Score Search and Grow Shrink Trees

Bryan Andrews, Joseph Ramsey, Ruben Sanchez Romero, Jazmin Camchong, Erich Kummerfeld

Chasing Fairness Under Distribution Shift: A Model Weight Perturbation Approach

Zhimeng (Stephen) Jiang, Xiaotian Han, Hongye Jin, Guanchu Wang, Rui Chen

Variational Annealing on Graphs for Combinatorial Optimization

Sebastian Sanokowski, Wilhelm Berghammer, Sepp Hochreiter, Sebastian Lehner

The Gain from Ordering in Online Learning

Vasilis Kontonis, Mingchen Ma, Christos Tzamos

Sub-optimality of the Naive Mean Field approximation for proportional high-dimensional Linear Regression

Jiaze Qiu

An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition

Quan Xiao, Songtao Lu, Tianyi Chen

Topological RANSAC for instance verification and retrieval without fine-tuning

Guoyuan An, Ju-hyeong Seon, Inkyu An, Yuchi Huo, Sung-eui Yoon

EDGI: Equivariant Diffusion for Planning with Embodied Agents

Johann Brehmer, Joey Bose, Pim de Haan, Taco S Cohen

Prediction and Control in Continual Reinforcement Learning

Nishanth Anand, Doina Precup

Towards In-context Scene Understanding

Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelović, Olivier Henaff

Mitigating the Effect of Incidental Correlations on Part-based Learning

Gaurav Bhatt, Deepayan Das, Leonid Sigal, Vineeth N Balasubramanian

Concept Distillation: Leveraging Human-Centered Explanations for Model Improvement

Avani Gupta, Saurabh Saini, P J Narayanan

VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution

Siobhan Mackenzie Hall, Fernanda Gonçalves Abrantes, Hanwen Zhu, Grace Sodunke, Aleksandar Shtedritski

Discovering Hierarchical Achievements in Reinforcement Learning via Contrastive Learning

Seungyong Moon, Junyoung Yeom, Bumsoo Park, Hyun Oh Song

IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers

Zhenglin Huang, Xiaoan Bao, Na Zhang, Qingqi Zhang, Xiao Tu

Double and Single Descent in Causal Inference with an Application to High-Dimensional Synthetic Control

Jann Spiess, guido imbens, Amar Venugopal

MeGraph: Capturing Long-Range Interactions by Alternating Local and Hierarchical Aggregation on Multi-Scaled Graph Hierarchy

Honghua Dong, Jiawei Xu, Yu Yang, Rui Zhao, Shiwen Wu

Inferring Hybrid Neural Fluid Fields from Videos

Hong-Xing Yu, Yang Zheng, Yuan Gao, Yitong Deng, Bo Zhu

Gaussian Process Probes (GPP) for Uncertainty-Aware Probing

Zi Wang, Alexander Ku, Jason Baldridge, Tom Griffiths, Been Kim

Temperature Balancing, Layer-wise Weight Analysis, and Neural Network Training

Yefan Zhou, Tianyu Pang, Keqin Liu, charles martin, Michael W. Mahoney

Achieving Cross Modal Generalization with Multimodal Unified Representation

Yan Xia, Hai Huang, jieming zhu, Zhou Zhao

Aligning Gradient and Hessian for Neural Signed Distance Function

Ruian Wang, Zixiong Wang, Yunxiao Zhang, Shuangmin Chen, Shiqing Xin

Riemannian Residual Neural Networks

Isay Katsman, Eric Chen, Sidhanth Holalkere, Anna Asch, Aaron Lou

Textually Pretrained Speech Language Models

Michael Hassid, Tal Remez, Tu Anh Nguyen, Itai Gat, Alexis CONNEAU

Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation

Kirill Neklyudov, Jannes Nys, Luca Thiede, Juan Carrasquilla, Qiang Liu

ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation

Björn Deiseroth, Mayukh Deb, Samuel Weinbach, Manuel Brack, Patrick Schramowski

Implicit variance regularization in non-contrastive SSL

Manu Srinath Halvagal, Axel Laborieux, Friedemann Zenke

Robust Matrix Sensing in the Semi-Random Model

Xing Gao, Yu Cheng

Test-Time Amendment with a Coarse Classifier for Fine-Grained Classification

Kanishk Jain, Shyamgopal Karthik, Vineet Gandhi

Distributionally Robust Skeleton Learning of Discrete Bayesian Networks

Yeshu Li, Brian Ziebart

SEENN: Towards Temporal Spiking Early Exit Neural Networks

Yuhang Li, Tamar Geller, Youngeun Kim, Priyadarshini Panda

Perceptual Kalman Filters: Online State Estimation under a Perfect Perceptual-Quality Constraint

Dror Freirich, Tomer Michaeli, Ron Meir

Embroid: Unsupervised Prediction Smoothing Can Improve Few-Shot Classification

Neel Guha, Mayee Chen, Kush Bhatia, Azalia Mirhoseini, Frederic Sala

Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback

Marcel Torne Villasevil, Max Balsells I Pamies, Zihan Wang, Samedh Desai, Tao Chen

Abide by the law and follow the flow: conservation laws for gradient flows

Sibylle Marcotte, Remi Gribonval, Gabriel Peyré

CoLLAT: On Adding Fine-grained Audio Understanding to Language Models using Token-Level Locked-Language Tuning

Dadallage A R Silva, Spencer Whitehead, Christopher Lengerich, Hugh Leather

Explore to Generalize in Zero-Shot RL

Ev Zisselman, Itai Lavie, Daniel Soudry, Aviv Tamar

Going beyond persistent homology using persistent homology

Johanna Immonen, Amauri Souza, Vikas Garg

Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation

Tingliang Feng, Hao Shi, Xueyang Liu, Wei Feng, Liang Wan

Fast Attention Requires Bounded Entries

Josh Alman, Zhao Song

Sampling weights of deep neural networks

Erik L Bolager, Iryna Burak, Chinmay Datar, Qing Sun, Felix Dietrich

DiffUTE: Universal Text Editing Diffusion Model

Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, jun lan, 行郑

Curvature Filtrations for Graph Generative Model Evaluation

Joshua Southern, Jeremy Wayland, Michael Bronstein, Bastian Rieck

Convergence analysis of ODE models for accelerated first-order methods via positive semidefinite kernels

Jungbin Kim, Insoon Yang

NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF

Stefan Lionar, Xiangyu Xu, Min Lin, Gim Hee Lee

C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models

Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang

Clifford Group Equivariant Neural Networks

David Ruhe, Johannes Brandstetter, Patrick Forré

Finding Local Minima Efficiently in Decentralized Optimization

Wenhan Xian, Heng Huang

Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization

Swarnadeep Saha, Peter Hase, Mohit Bansal

An Empirical Study Towards Prompt-Tuning for Graph Contrastive Pre-Training in Recommendations

Haoran Yang, Xiangyu Zhao, Yicong Li, Hongxu Chen, Guandong Xu

Certified Minimax Unlearning with Generalization Rates and Deletion Capacity

Jiaqi Liu, Jian Lou, Zhan Qin, Kui Ren

Outlier-Robust Wasserstein DRO

Sloan Nietert, Ziv Goldfeld, Soroosh Shafiee

Data-Dependent Bounds for Online Portfolio Selection Without Lipschitzness and Smoothness

Chung-En Tsai, Ying-Ting Lin, Yen-Huan Li

Sensitivity in Translation Averaging

Lalit Manam, Venu Madhav Govindu