NeurIPS 2023

3,540 papers

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent

Ziniu Hu, Ahmet Iscen, Chen Sun, Kai-Wei Chang, Yizhou Sun

AllSim: Simulating and Benchmarking Resource Allocation Policies in Multi-User Systems

Jeroen Berrevoets, Daniel Jarrett, Alex Chan, Mihaela van der Schaar

Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability

Junqi Gao, Biqing Qi, Yao Li, Zhichang Guo, Dong Li

PROTES: Probabilistic Optimization with Tensor Sampling

Anastasiia Batsheva, Andrei Chertkov, Gleb Ryzhakov, Ivan Oseledets

A Scale-Invariant Sorting Criterion to Find a Causal Order in Additive Noise Models

Alexander Reisach, Myriam Tami, Christof Seiler, Antoine Chambaz, Sebastian Weichwald

Smoothing the Landscape Boosts the Signal for SGD: Optimal Sample Complexity for Learning Single Index Models

Alex Damian, Eshaan Nichani, Rong Ge, Jason Lee

Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models

Yichao Cao, Qingfei Tang, Xiu Su, Song Chen, Shan You

Batchnorm Allows Unsupervised Radial Attacks

Amur Ghose, Apurv Gupta, Yaoliang Yu, Pascal Poupart

Belief Projection-Based Reinforcement Learning for Environments with Delayed Feedback

Jangwon Kim, Hangyeol Kim, Jiwook Kang, Jongchan Baek, Soohee Han

Where are we in the search for an Artificial Visual Cortex for Embodied Intelligence?

Arjun Majumdar, Karmesh Yadav, Sergio Arnaud, Jason Ma, Claire Chen

Large language models transition from integrating across position-yoked, exponential windows to structure-yoked, power-law windows

David Skrill, Samuel Norman-Haignere

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training

Zhenyi Wang, Li Shen, Tongliang Liu, Tiehang Duan, Yanjun Zhu

A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories

Kai Yan, Alex Schwing, Yu-Xiong Wang

Hyperbolic VAE via Latent Gaussian Distributions

Seunghyuk Cho, Juyong Lee, Dongwoo Kim

Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation

Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan

Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond

Oleg Platonov, Denis Kuznedelev, Artem Babenko, Liudmila Prokhorenkova

FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation

Jia Gu, Caizhi Tang, Han Yan, Qing Cui, Longfei Li

Causal Effect Identification in Uncertain Causal Networks

Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew Vowels, Jalal Etesami

ANTN: Bridging Autoregressive Neural Networks and Tensor Networks for Quantum Many-Body Simulation

Zhuo Chen, Laker Newhouse, Eddie Chen, Di Luo, Marin Soljacic

BubbleML: A Multiphase Multiphysics Dataset and Benchmarks for Machine Learning

Sheikh Md Shakeel Hassan, Arthur Feeney, Akash Dhruv, Jihoon Kim, Youngjoon Suh

Task-aware Distributed Source Coding under Dynamic Bandwidth

Po-han Li, Sravan Kumar Ankireddy, Ruihan (Philip) Zhao, Hossein Nourkhiz Mahjoub, Ehsan Moradi Pari

Diffused Task-Agnostic Milestone Planner

Mineui Hong, Minjae Kang, Songhwai Oh

Label Correction of Crowdsourced Noisy Annotations with an Instance-Dependent Noise Transition Model

Hui GUO, Boyu Wang, Grace Yi

ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy

Qiyao Huang, Yingyue Zhang, Zhihong Zhang, Edwin R. Hancock

Scalable Membership Inference Attacks via Quantile Regression

Martin Bertran, Shuai Tang, Aaron Roth, Michael J. Kearns, Jamie H Morgenstern

Ambient Diffusion: Learning Clean Distributions from Corrupted Data

Giannis Daras, Kulin Shah, Yuval Dagan, Aravind Gollakota, Alex Dimakis

TexQ: Zero-shot Network Quantization with Texture Feature Distribution Calibration

Xinrui Chen, Yizhi Wang, Renao YAN, Yiqing Liu, Tian Guan

Self-Supervised Motion Magnification by Backpropagating Through Optical Flow

Zhaoying Pan, Daniel Geng, Andrew Owens

Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More

Jan Schuchardt, Yan Scholten, Stephan Günnemann

PopSign ASL v1.0: An Isolated American Sign Language Dataset Collected via Smartphones

Thad Starner, Sean Forbes, Matthew So, David R. Martin, Rohit Sridhar

Attentive Transfer Entropy to Exploit Transient Emergence of Coupling Effect

Xiaolei Ru, XINYA ZHANG, Zijia Liu, Jack Murdoch Moore, Gang Yan

Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning

Mathias Lechner, lianhao yin, Tim Seyde, Tsun-Hsuan Johnson Wang, Wei Xiao

Adaptive Selective Sampling for Online Prediction with Experts

Rui M. Castro, Fredrik Hellström, Tim van Erven

Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation

Ruida Zhou, Tao Liu, Min Cheng, Dileep Kalathil, P. R. Kumar

PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation

Yuhan Ding, Fukun Yin, Jiayuan Fan, Hui Li, Xin Chen

Path following algorithms for ℓ_2-regularized M-estimation with approximation guarantee

Yunzhang Zhu, Renxiong Liu

Bootstrapping Vision-Language Learning with Decoupled Language Pre-training

Yiren Jian, Chongyang Gao, Soroush Vosoughi

PaintSeg: Painting Pixels for Training-free Segmentation

Xiang Li, Chung-Ching Lin, Yinpeng Chen, Zicheng Liu, Jinglu Wang

Cross-Episodic Curriculum for Transformer Agents

Lucy Xiaoyang Shi, Yunfan Jiang, Jake Grigsby, Linxi Fan, Yuke Zhu

Modelling Cellular Perturbations with the Sparse Additive Mechanism Shift Variational Autoencoder

Michael Bereket, Theofanis Karaletsos