NeurIPS 2023

3,540 papers

Benchmark of Machine Learning Force Fields for Semiconductor Simulations: Datasets, Metrics, and Comparative Analysis

Geonu Kim, Byunggook Na, Gunhee Kim, Hyuntae Cho, Seungjin Kang

Coneheads: Hierarchy Aware Attention

Albert Tseng, Tao Yu, Toni Liu, Christopher M De Sa

Diverse Community Data for Benchmarking Data Privacy Algorithms

Aniruddha Sen, Christine Task, Dhruv Kapur, Gary Howarth, Karan Bhagat

On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets

Jiashuo Liu, Tianyu Wang, Peng Cui, Hongseok Namkoong

Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation

Jiawei Fan, CHAO LI, Xiaolong Liu, Meina Song, Anbang Yao

HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text

Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma

LambdaBeam: Neural Program Search with Higher-Order Functions and Lambdas

Kensen Shi, Hanjun Dai, Wen-Ding Li, Kevin Ellis, Charles A. Sutton

A Unified Framework for Rank-based Loss Minimization

Rufeng Xiao, Yuze Ge, Rujun Jiang, Yifan Yan

CORNN: Convex optimization of recurrent neural networks for rapid inference of neural dynamics

Fatih Dinc, Adam Shai, Mark Schnitzer, Hidenori Tanaka

Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration

Guangyu Shen, Siyuan Cheng, Guanhong Tao, Kaiyuan Zhang, Yingqi Liu

The geometry of hidden representations of large transformer models

Lucrezia Valeriani, Diego Doimo, Francesca Cuturello, Alessandro Laio, Alessio Ansuini

MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion

Shitao Tang, Fuyang Zhang, Jiacheng Chen, Peng Wang, Yasutaka Furukawa

Ecosystem-level Analysis of Deployed Machine Learning Reveals Homogeneous Outcomes

Connor Toups, Rishi Bommasani, Kathleen Creel, Sarah Bana, Dan Jurafsky

Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching

Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu

Unified Lower Bounds for Interactive High-dimensional Estimation under Information Constraints

Jayadev Acharya, Clément L Canonne, Ziteng Sun, Himanshu Tyagi

Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First

Zheng Zhang, Junxiang Wang, Liang Zhao

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism

Chengcheng Wang, Wei He, Ying Nie, Jianyuan Guo, Chuanjian Liu

GEO-Bench: Toward Foundation Models for Earth Monitoring

Alexandre Lacoste, Nils Lehmann, Pau Rodriguez, Evan Sherwin, Hannah Kerner

MultiVENT: Multilingual Videos of Events and Aligned Natural Text

Kate Sanders, David Etter, Reno Kriz, Benjamin Van Durme

HyP-NeRF: Learning Improved NeRF Priors using a HyperNetwork

Bipasha Sen, Gaurav Singh, Aditya Agarwal, Rohith Agaram, Madhava Krishna

Bilevel Coreset Selection in Continual Learning: A New Formulation and Algorithm

Jie Hao, Kaiyi Ji, Mingrui Liu

Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery

Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping

Improving neural network representations using human similarity judgments

Lukas Muttenthaler, Lorenz Linhardt, Jonas Dippel, Robert A Vandermeulen, Katherine Hermann

ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking

Yutong Kou, Jin Gao, Bing Li, Gang Wang, Weiming Hu

SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models

Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg

Language Models are Weak Learners

Hariharan Manikandan, YiDing Jiang, J. Zico Kolter

Graph-Structured Gaussian Processes for Transferable Graph Learning

Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He

Personalized Dictionary Learning for Heterogeneous Datasets

Geyu Liang, Naichen Shi, Raed AL Kontar, Salar Fattahi

Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction

Quentin Delfosse, Hikaru Shindo, Devendra Dhami, Kristian Kersting

Graph Mixture of Experts: Learning on Large-Scale Graphs with Explicit Diversity Modeling

Haotao Wang, Ziyu Jiang, Yuning You, Yan Han, Gaowen Liu

WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes

Satoshi Tsutsui, Winnie Pang, Bihan Wen

Explaining the Uncertain: Stochastic Shapley Values for Gaussian Process Models

Siu Lun Chau, Krikamol Muandet, Dino Sejdinovic

DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data

Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang

MLFMF: Data Sets for Machine Learning for Mathematical Formalization

Andrej Bauer, Matej Petković, Ljupco Todorovski

SmoothHess: ReLU Network Feature Interactions via Stein's Lemma

Max Torop, Aria Masoomi, Davin Hill, Kivanc Kose, Stratis Ioannidis

Deep learning with kernels through RKHM and the Perron-Frobenius operator

Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri

Mesogeos: A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean

Spyridon Kondylatos, Ioannis Prapas, Gustau Camps-Valls, Ioannis Papoutsis

SyncDiffusion: Coherent Montage via Synchronized Joint Diffusions

Yuseung Lee, Kunho Kim, Hyunjin Kim, Minhyuk Sung

Trust Your $\nabla$: Gradient-based Intervention Targeting for Causal Discovery

Mateusz Olko, Michał Zając, Aleksandra Nowak, Nino Scherrer, Yashas Annadani

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception

Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu

Sparse Parameterization for Epitomic Dataset Distillation

Xing Wei, Anjia Cao, Funing Yang, Zhiheng Ma

Faster Relative Entropy Coding with Greedy Rejection Coding

Gergely Flamich, Stratis Markou, José Miguel Hernández-Lobato

POP-3D: Open-Vocabulary 3D Occupancy Prediction from Images

Antonin Vobecky, Oriane Siméoni, David Hurych, Spyridon Gidaris, Andrei Bursuc

Online robust non-stationary estimation

Abishek Sankararaman, Balakrishnan Narayanaswamy

Optimization or Architecture: How to Hack Kalman Filtering

Ido Greenberg, Netanel Yannay, Shie Mannor

Hypothesis Selection with Memory Constraints

Maryam Aliakbarpour, Mark Bun, Adam Smith

When Do Transformers Shine in RL? Decoupling Memory from Credit Assignment

Tianwei Ni, Michel Ma, Benjamin Eysenbach, Pierre-Luc Bacon

A Dual-Stream Neural Network Explains the Functional Segregation of Dorsal and Ventral Visual Pathways in Human Brains

Minkyu Choi, Kuan Han, Xiaokai Wang, Yizhen Zhang, Zhongming Liu

A Definition of Continual Reinforcement Learning

David Abel, Andre Barreto, Benjamin Van Roy, Doina Precup, Hado P van Hasselt

Scaling Data-Constrained Language Models

Niklas Muennighoff, Alexander Rush, Boaz Barak, Teven Le Scao, Nouamane Tazi

Generalized Weighted Path Consistency for Mastering Atari Games

Dengwei Zhao, Shikui Tu, Lei Xu

Provable Training for Graph Contrastive Learning

Yue Yu, Xiao Wang, Mengmei Zhang, Nian Liu, Chuan Shi

HT-Step: Aligning Instructional Articles with How-To Videos

Triantafyllos Afouras, Effrosyni Mavroudi, Tushar Nagarajan, Huiyu Wang, Lorenzo Torresani

Equivariant Adaptation of Large Pretrained Models

Arnab Kumar Mondal, Siba Smarak Panigrahi, Oumar Kaba, Sai Rajeswar Mudumba, Siamak Ravanbakhsh

Identifiability Guarantees for Causal Disentanglement from Soft Interventions

Jiaqi Zhang, Kristjan Greenewald, Chandler Squires, Akash Srivastava, Karthikeyan Shanmugam

Automatic Integration for Spatiotemporal Neural Point Processes

Zihao Zhou, Rose Yu

Disentangling Voice and Content with Self-Supervision for Speaker Recognition

TIANCHI LIU, Kong Aik Lee, Qiongqiong Wang, Haizhou Li

Extracting Reward Functions from Diffusion Models

Felipe Nuti, Tim Franzmeyer, João F. Henriques

Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task

Maya Okawa, Ekdeep S Lubana, Robert Dick, Hidenori Tanaka

BiSLS/SPS: Auto-tune Step Sizes for Stable Bi-level Optimization

Chen Fan, Gaspard Choné-Ducasse, Mark Schmidt, CHRISTOS THRAMPOULIDIS

ToolQA: A Dataset for LLM Question Answering with External Tools

Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang

Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models

Lin Li, Jun Xiao, Guikun Chen, Jian Shao, Yueting Zhuang

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning

Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan

Learning Curves for Noisy Heterogeneous Feature-Subsampled Ridge Ensembles

Ben Ruben, Cengiz Pehlevan

T2T: From Distribution Learning in Training to Gradient Search in Testing for Combinatorial Optimization

Yang Li, Jinpei Guo, Runzhong Wang, Junchi Yan

Maximum State Entropy Exploration using Predecessor and Successor Representations

Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models

Litu Rout, Negin Raoof, Giannis Daras, Constantine Caramanis, Alex Dimakis

On the Interplay between Social Welfare and Tractability of Equilibria

Ioannis Anagnostides, Tuomas Sandholm

Learning with Explanation Constraints

Rattana Pukdee, Dylan Sam, J. Zico Kolter, Maria-Florina F Balcan, Pradeep K Ravikumar

Coop: Memory is not a Commodity

Jianhao Zhang, Shihan Ma, Peihong Liu, Jinhui Yuan

UniPC: A Unified Predictor-Corrector Framework for Fast Sampling of Diffusion Models

Wenliang Zhao, Lujia Bai, Yongming Rao, Jie Zhou, Jiwen Lu

Stable Nonconvex-Nonconcave Training via Linear Interpolation

Thomas Pethick, Wanyun Xie, Volkan Cevher

BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing

Subhro Roy, Samuel Thomson, Tongfei Chen, Richard Shin, Adam Pauls

Hierarchical Randomized Smoothing

Yan Scholten, Jan Schuchardt, Aleksandar Bojchevski, Stephan Günnemann

Flow Factorized Representation Learning

Yue Song, Andy Keller, Nicu Sebe, Max Welling

Provably Fast Finite Particle Variants of SVGD via Virtual Particle Stochastic Approximation

Aniket Das, Dheeraj Nagaraj

Environment-Aware Dynamic Graph Learning for Out-of-Distribution Generalization

Haonan Yuan, Qingyun Sun, Xingcheng Fu, Ziwei Zhang, Cheng Ji

A Unified Conditional Framework for Diffusion-based Image Restoration

Yi Zhang, Xiaoyu Shi, Dasong Li, Xiaogang Wang, Jian Wang

A fast heuristic to optimize time-space tradeoff for large models

Akifumi Imanishi, Zijian Xu, Masayuki Takagi, Sixue Wang, Emilio Castillo

JourneyDB: A Benchmark for Generative Image Understanding

Keqiang Sun, Junting Pan, Yuying Ge, Hao Li, Haodong Duan

Geometry-Aware Adaptation for Pretrained Models

Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang

Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration

Longlin Yu, Tianyu Xie, Yu Zhu, Tong Yang, Xiangyu Zhang

Importance Weighted Actor-Critic for Optimal Conservative Offline Reinforcement Learning

Hanlin Zhu, Paria Rashidinejad, Jiantao Jiao

Learning to Search Feasible and Infeasible Regions of Routing Problems with Flexible Neural k-Opt

Yining Ma, Zhiguang Cao, Yeow Meng Chee

Exploiting Contextual Objects and Relations for 3D Visual Grounding

Li Yang, chunfeng yuan, Ziqi Zhang, Zhongang Qi, Yan Xu

Sample-Conditioned Hypothesis Stability Sharpens Information-Theoretic Generalization Bounds

Ziqiao Wang, Yongyi Mao

Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection

Hezhe Qiao, Guansong Pang

Characterizing the Optimal $0-1$ Loss for Multi-class Classification with a Test-time Attacker

Sihui Dai, Wenxin Ding, Arjun Nitin Bhagoji, Daniel Cullina, Heather Zheng

Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach

Sangwoong Yoon, Young-Uk Jin, Yung-kyun Noh, Frank Park

VidChapters-7M: Video Chapters at Scale

Antoine Yang, Arsha Nagrani, Ivan Laptev, Josef Sivic, Cordelia Schmid

High-dimensional Contextual Bandit Problem without Sparsity

Junpei Komiyama, Masaaki Imaizumi

DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation

Kaipeng Zheng, Huishuai Zhang, Weiran Huang

Mechanism Design for Collaborative Normal Mean Estimation

Yiding Chen, Xiaojin Zhu, Kirthevasan Kandasamy

On the Asymptotic Learning Curves of Kernel Ridge Regression under Power-law Decay

Yicheng Li, Haobo Zhang, Qian Lin

Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network

Fuyuan Lyu, Xing Tang, Dugang Liu, Chen Ma, Weihong Luo

Punctuation-level Attack: Single-shot and Single Punctuation Can Fool Text Models

wenqiang wang, Chongyang Du, Tao Wang, Kaihao Zhang, Wenhan Luo

Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization

Clement Benard, Brian Staber, Sébastien Da Veiga

Privacy Auditing with One (1) Training Run

Thomas Steinke, Milad Nasr, Matthew Jagielski

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Wenliang Dai, Junnan Li, DONGXU LI, Anthony Tiong, Junqi Zhao

On Calibrating Diffusion Probabilistic Models

Tianyu Pang, Cheng Lu, Chao Du, Min Lin, Shuicheng Yan