NeurIPS 2023

3,540 papers

Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport

Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

Interactive Visual Reasoning under Uncertainty

Manjie Xu, Guangyuan Jiang, Wei Liang, Chi Zhang, Yixin Zhu

Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution

Xiaotong Luo, Yuan Xie, Yanyun Qu

Explore In-Context Learning for 3D Point Cloud Understanding

Zhongbin Fang, Xiangtai Li, Xia Li, Joachim M Buhmann, Chen Change Loy

CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care

Tong Xiang, Liangzhi Li, Wangyue Li, Mingbai Bai, Lu Wei

Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs

Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li

Brahma Pavse, Josiah Hanna

Rethinking Conditional Diffusion Sampling with Progressive Guidance

Anh-Dung Dinh, Daochang Liu, Chang Xu

Towards robust and generalizable representations of extracellular data using contrastive learning

Ankit Vishnubhotla, Charlotte Loh, Akash Srivastava, Liam Paninski, Cole Hurwitz

Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication

Chaofei Fan, Nick Hahn, Foram Kamdar, Donald Avansino, Guy Wilson

Trans-Dimensional Generative Modeling via Jump Diffusion Models

Andrew Campbell, William Harvey, Christian Weilbach, Valentin De Bortoli, Thomas Rainforth

Beyond Unimodal: Generalising Neural Processes for Multimodal Uncertainty Estimation

Myong Chol Jung, He Zhao, Joanna Dipnall, Lan Du

Slimmed Asymmetrical Contrastive Learning and Cross Distillation for Lightweight Model Training

Jian Meng, Li Yang, Kyungmin Lee, Jinwoo Shin, Deliang Fan

Renku: a platform for sustainable data science

Rok Roškar, Chandrasekhar Ramakrishnan, Michele Volpi, Fernando Pérez-Cruz, Lilian Gasser

On Learning Necessary and Sufficient Causal Graphs

Hengrui Cai, Yixin Wang, Michael I. Jordan, Rui Song

Efficient Exploration in Continuous-time Model-based Reinforcement Learning

Lenart Treven, Jonas Hübotter, Bhavya Sukhija, Florian Dorfler, Andreas Krause

Token-Scaled Logit Distillation for Ternary Weight Generative Language Models

Minsoo Kim, Sihwa Lee, Janghwan Lee, Sukjin Hong, Du-Seong Chang

AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions

Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Jennifer Wei

A High-Resolution Dataset for Instance Detection with Multi-View Object Capture

QIANQIAN SHEN, Yunhan Zhao, Nahyun Kwon, Jeeeun Kim, Yanan Li

Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent

Giannis Daras, Yuval Dagan, Alex Dimakis, Constantinos Daskalakis

SwiFT: Swin 4D fMRI Transformer

Peter Kim, Junbeom Kwon, Sunghwan Joo, Sangyoon Bae, Donggyu Lee

Riemannian Projection-free Online Learning

Zihao Hu, Guanghui Wang, Jacob D. Abernethy

A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning

Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C. Bayan Bruss

Discrete-Smoothness in Online Algorithms with Predictions

Yossi Azar, Debmalya Panigrahi, Noam Touitou

One-Step Diffusion Distillation via Deep Equilibrium Models

Zhengyang Geng, Ashwini Pokle, J. Zico Kolter

Active Learning-Based Species Range Estimation

Christian Lange, Elijah Cole, Grant Van Horn, Oisin Mac Aodha

DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization

Hua Wang, Sheng Gao, Huanyu Zhang, Weijie Su, Milan Shen

Boosting with Tempered Exponential Measures

Richard Nock, Ehsan Amid, Manfred Warmuth

A Sublinear-Time Spectral Clustering Oracle with Improved Preprocessing Time

Ranran Shen, Pan Peng

Spiking PointNet: Spiking Neural Networks for Point Clouds

Dayong Ren, Zhe Ma, Yuanpei Chen, Weihang Peng, Xiaode Liu

BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking

Bin Huang, Jiaqian Yu, Yiwei Chen, Siyang Pan, Qiang Wang

Error Discovery By Clustering Influence Embeddings

Fulton Wang, Julius Adebayo, Sarah Tan, Diego Garcia-Olano, Narine Kokhlikyan

Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger

Zhiqi Bu, Yu-Xiang Wang, Sheng Zha, George Karypis

Towards Evaluating Transfer-based Attacks Systematically, Practically, and Fairly

Qizhang Li, Yiwen Guo, Wangmeng Zuo, Hao Chen

RAPHAEL: Text-to-Image Generation via Large Mixture of Diffusion Paths

Zeyue Xue, Guanglu Song, Qiushan Guo, Boxiao Liu, Zhuofan Zong

Adversarial Attacks on Online Learning to Rank with Click Feedback

Jinhang Zuo, Zhiyao Zhang, Zhiyong Wang, Shuai Li, Mohammad Hajiesmaili

Smoothed Online Learning for Prediction in Piecewise Affine Systems

Adam Block, Max Simchowitz, Russ Tedrake

ViSt3D: Video Stylization with 3D CNN

Ayush Pande, Gaurav Sharma

Self-Evaluation Guided Beam Search for Reasoning

Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, James Xu Zhao, Min-Yen Kan

NEO-KD: Knowledge-Distillation-Based Adversarial Training for Robust Multi-Exit Neural Networks

Seokil Ham, Jungwuk Park, Dong-Jun Han, Jaekyun Moon

Spuriosity Rankings: Sorting Data to Measure and Mitigate Biases

Mazda Moayeri, Wenxiao Wang, Sahil Singla, Soheil Feizi

ProBio: A Protocol-guided Multimodal Dataset for Molecular Biology Lab

Jieming Cui, Ziren Gong, Baoxiong Jia, Siyuan Huang, Zilong Zheng

Composable Coresets for Determinant Maximization: Greedy is Almost Optimal

Siddharth Gollapudi, Sepideh Mahabadi, Varun Sivashankar

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Kenneth Li, Oam Patel, Fernanda Viégas, Hanspeter Pfister, Martin Wattenberg

FairLISA: Fair User Modeling with Limited Sensitive Attributes Information

Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang

Doubly-Robust Self-Training

Banghua Zhu, Mingyu Ding, Philip Jacobson, Ming Wu, Wei Zhan

Large Language Models of Code Fail at Completing Code with Potential Bugs

Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen

The Cambridge Law Corpus: A Dataset for Legal AI Research

Andreas Östling, Holli Sargeant, Huiyuan Xie, Ludwig Bull, Alexander Terenin

The Adversarial Consistency of Surrogate Risks for Binary Classification

Natalie Frank, Jonathan Niles-Weed

Limits, approximation and size transferability for GNNs on sparse graphs via graphops

Thien Le, Stefanie Jegelka

Towards the Difficulty for a Deep Neural Network to Learn Concepts of Different Complexities

Dongrui Liu, Huiqi Deng, Xu Cheng, Qihan Ren, Kangrui Wang

Cold Diffusion: Inverting Arbitrary Image Transforms Without Noise

Arpit Bansal, Eitan Borgnia, Hong-Min Chu, Jie Li, Hamid Kazemi

OKRidge: Scalable Optimal k-Sparse Ridge Regression

Jiachang Liu, Sam Rosen, Chudi Zhong, Cynthia Rudin

A Dynamical System View of Langevin-Based Non-Convex Sampling

Mohammad Reza Karimi Jaghargh, Ya-Ping Hsieh, Andreas Krause

Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models

Qiong Wu, Wei Yu, Yiyi Zhou, Shubin Huang, Xiaoshuai Sun

What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement.

‪Yotam Alexander‬‏, Nimrod De La Vega, Noam Razin, Nadav Cohen

Zero-Shot Anomaly Detection via Batch Normalization

Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph

DELIFFAS: Deformable Light Fields for Fast Avatar Synthesis

Youngjoong Kwon, Lingjie Liu, Henry Fuchs, Marc Habermann, Christian Theobalt

Exploring Diverse In-Context Configurations for Image Captioning

Xu Yang, Yongliang Wu, Mingzhuo Yang, Haokun Chen, Xin Geng

The ToMCAT Dataset

Adarsh Pyarelal, Eric Duong, Caleb Shibu, Paulo Soares, Savannah Boyd

Are These the Same Apple? Comparing Images Based on Object Intrinsics

Klemen Kotar, Stephen Tian, Hong-Xing Yu, Dan Yamins, Jiajun Wu

Bicriteria Multidimensional Mechanism Design with Side Information

Siddharth Prasad, Maria-Florina F Balcan, Tuomas Sandholm

Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering

Yijun Dong, Kevin Miller, Qi Lei, Rachel Ward

BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning

Xuan Chen, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song

Reining Generalization in Offline Reinforcement Learning via Representation Distinction

Yi Ma, Hongyao Tang, Dong Li, Zhaopeng Meng

Structure Learning with Adaptive Random Neighborhood Informed MCMC

Xitong Liang, Alberto Caron, Samuel Livingstone, Jim Griffin

AbDiffuser: full-atom generation of in-vitro functioning antibodies

Karolis Martinkus, Jan Ludwiczak, WEI-CHING LIANG, Julien Lafrance-Vanasse, Isidro Hotzel

3D Indoor Instance Segmentation in an Open-World

Mohamed El Amine Boudjoghra, Salwa Al Khatib, Jean Lahoud, Hisham Cholakkal, Rao Anwer

Score-based Generative Models with Lévy Processes

EUN BI YOON, Keehun Park, Sungwoong Kim, Sungbin Lim

Siamese Masked Autoencoders

Agrim Gupta, Jiajun Wu, Jia Deng, Fei-Fei Li

Reference-Based POMDPs

Edward Kim, Yohan Karunanayake, Hanna Kurniawati

Maximum Independent Set: Self-Training through Dynamic Programming

Lorenzo Brusca, Lars C.P.M. Quaedvlieg, Stratis Skoulakis, Grigorios Chrysos, Volkan Cevher

Digital Typhoon: Long-term Satellite Image Dataset for the Spatio-Temporal Modeling of Tropical Cyclones

Asanobu Kitamoto, Jared Hwang, Bastien Vuillod, Lucas Gautier, Yingtao Tian

Revisit Weakly-Supervised Audio-Visual Video Parsing from the Language Perspective

Yingying Fan, Yu Wu, Bo Du, Yutian Lin

Supported Value Regularization for Offline Reinforcement Learning

Yixiu Mao, Hongchang Zhang, Chen Chen, Yi Xu, Xiangyang Ji

Sharp Bounds for Generalized Causal Sensitivity Analysis

Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

Mr. HiSum: A Large-scale Dataset for Video Highlight Detection and Summarization

Jinhwan Sul, Jihoon Han, Joonseok Lee

Score-based Data Assimilation

François Rozet, Gilles Louppe

CorresNeRF: Image Correspondence Priors for Neural Radiance Fields

Yixing Lao, Xiaogang Xu, zhipeng cai, Xihui Liu, Hengshuang Zhao

QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules

Haiyang Yu, Meng Liu, Youzhi Luo, Alex Strasser, Xiaofeng Qian

Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers

Yiwei Lu, Yaoliang Yu, Xinlin Li, Vahid Partovi Nia

Probabilistic Exponential Integrators

Nathanael Bosch, Philipp Hennig, Filip Tronarp

CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection

Yingjie Wang, Jiajun Deng, Yuenan Hou, Yao Li, Yu Zhang

On Imitation in Mean-field Games

Giorgia Ramponi, Pavel Kolev, Olivier Pietquin, Niao He, Mathieu Lauriere

Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations

Yijia Cheng, Xin Liu, Jingyu Yang

Extremal Domain Translation with Neural Optimal Transport

Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev

Switching Temporary Teachers for Semi-Supervised Semantic Segmentation

Jaemin Na, Jung-Woo Ha, Hyung Jin Chang, Dongyoon Han, Wonjun Hwang

Distribution-Free Statistical Dispersion Control for Societal Applications

Zhun Deng, Thomas Zollo, Jake Snell, Toniann Pitassi, Richard S. Zemel

Optimality of Message-Passing Architectures for Sparse Graphs

Aseem Baranwal, Kimon Fountoulakis, Aukosh Jagannath

ISP: Multi-Layered Garment Draping with Implicit Sewing Patterns

Ren Li, Benoit Guillard, Pascal Fua

DOSE: Diffusion Dropout with Adaptive Prior for Speech Enhancement

Wenxin Tai, Yue Lei, Fan Zhou, Goce Trajcevski, Ting Zhong

Convex and Non-convex Optimization Under Generalized Smoothness

Haochuan Li, Jian Qian, Yi Tian, Alexander Rakhlin, Ali Jadbabaie

Goal Driven Discovery of Distributional Differences via Language Descriptions

Ruiqi Zhong, Peter Zhang, Steve Li, Jinwoo Ahn, Dan Klein

Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies

Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman

Decentralized Matrix Sensing: Statistical Guarantees and Fast Convergence

Marie Maros, Gesualdo Scutari

Asymptotics of Bayesian Uncertainty Estimation in Random Features Regression

Youngsoo Baek, Samuel Berchuck, Sayan Mukherjee

Trading-off price for data quality to achieve fair online allocation

Mathieu Molina, Nicolas Gast, Patrick Loiseau, Vianney Perchet

Critical Initialization of Wide and Deep Neural Networks using Partial Jacobians: General Theory and Applications

Darshil Doshi, Tianyu He, Andrey Gromov

Toward Re-Identifying Any Animal

Bingliang Jiao, Lingqiao Liu, Liying Gao, Ruiqi Wu, Guosheng Lin

Analyzing Vision Transformers for Image Classification in Class Embedding Space

Martina G. Vilas, Timothy Schaumlöffel, Gemma Roig