ICLR 2024

2,260 papers

GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher

Youliang Yuan, Wenxiang Jiao, Wenxuan Wang, Jen-tse Huang, Pinjia He

Open-ended VQA benchmarking of Vision-Language models by exploiting Classification datasets and their semantic hierarchy

Simon Ging, Maria Alejandra Bravo, Thomas Brox

Learning Conditional Invariances through Non-Commutativity

ABHRA CHAUDHURI, Serban Georgescu, Anjan Dutta

Real-Fake: Effective Training Data Synthesis Through Distribution Matching

Jianhao Yuan, Jie Zhang, Shuyang Sun, Philip Torr, Bo Zhao

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis

Izzeddin Gur, Hiroki Furuta, Austin V Huang, Mustafa Safdari, Yutaka Matsuo

Multimodal Web Navigation with Instruction-Finetuned Foundation Models

Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum, Yutaka Matsuo, Aleksandra Faust

VertiBench: Advancing Feature Distribution Diversity in Vertical Federated Learning Benchmarks

Zhaomin Wu, Junyi Hou, Bingsheng He

G^2N^2 : Weisfeiler and Lehman go grammatical

Jason Piquenot, Aldo Moscatelli, Maxime Berar, Pierre Héroux, Romain Raveaux

Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics

Rene Winchenbach, Nils Thuerey

Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios

Ziqiang Li, Hong Sun, Pengfei Xia, Heng Li, Beihao Xia

Scalable Language Model with Generalized Continual Learning

Bohao Peng, Zhuotao Tian, Shu Liu, Ming-Chang Yang, Jiaya Jia

CivRealm: A Learning and Reasoning Odyssey in Civilization for Decision-Making Agents

Siyuan Qi, Shuo Chen, Yexin Li, Xiangyu Kong, Junqi Wang

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models

Hyeonho Jeong, Jong Chul Ye

Spurious Feature Diversification Improves Out-of-distribution Generalization

LIN Yong, Lu Tan, Yifan Hao, Ho Nam Wong, Hanze Dong

Modelling complex vector drawings with stroke-clouds

Alexander Ashcroft, Ayan Das, Yulia Gryaditskaya, Zhiyu Qu, Yi-Zhe Song

PORF: POSE RESIDUAL FIELD FOR ACCURATE NEURAL SURFACE RECONSTRUCTION

Jia-Wang Bian, Wenjing Bian, Victor Adrian Prisacariu, Philip Torr

GNeRP: Gaussian-guided Neural Reconstruction of Reflective Objects with Noisy Polarization Priors

Li Yang, Ruizheng Wu, Jiyong Li, Ying-Cong Chen

Accurate Forgetting for Heterogeneous Federated Continual Learning

Abudukelimu Wuerkaixi, Sen Cui, Jingfeng ZHANG, Kunda Yan, Bo Han

Text-to-3D with Classifier Score Distillation

Xin Yu, Yuan-Chen Guo, Yangguang Li, Ding Liang, Song-Hai Zhang

Adversarial Causal Bayesian Optimization

Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova, Andreas Krause

Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning

Simone Magistri, Tomaso Trinci, Albin Soutif, Joost van de Weijer, Andrew D. Bagdanov

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control

Longtao Zheng, Rundong Wang, Xinrun Wang, Bo An

GRAPH-CONSTRAINED DIFFUSION FOR END-TO-END PATH PLANNING

Dingyuan Shi, Yongxin Tong, Zimu Zhou, Ke Xu, Zheng Wang

Predicting Emergent Abilities with Infinite Resolution Evaluation

Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He

Batch normalization is sufficient for universal function approximation in CNNs

Rebekka Burkholz

Communication-Efficient Gradient Descent-Accent Methods for Distributed Variational Inequalities: Unified Analysis and Local Updates

Siqi Zhang, Sayantan Choudhury, Sebastian U Stich, Nicolas Loizou

Deep Reinforcement Learning Guided Improvement Heuristic for Job Shop Scheduling

Cong Zhang, Zhiguang Cao, Wen Song, Yaoxin Wu, Jie Zhang

Uni3D: Exploring Unified 3D Representation at Scale

Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang

Performance Gaps in Multi-view Clustering under the Nested Matrix-Tensor Model

Hugo Lebeau, Mohamed El Amine Seddik, José Henrique De Morais Goulart

PBADet: A One-Stage Anchor-Free Approach for Part-Body Association

Zhongpai Gao, Huayi Zhou, Abhishek Sharma, Meng Zheng, Benjamin Planche

RAIN: Your Language Models Can Align Themselves without Finetuning

Yuhui Li, Fangyun Wei, Jinjing Zhao, Chao Zhang, Hongyang Zhang

DragonDiffusion: Enabling Drag-style Manipulation on Diffusion Models

Chong Mou, Xintao Wang, Jiechong Song, Ying Shan, Jian Zhang

InstructDET: Diversifying Referring Object Detection with Generalized Instructions

Ronghao Dang, Jiangyan Feng, Haodong Zhang, Chongjian GE, Lin Song

TapMo: Shape-aware Motion Generation of Skeleton-free Characters

Jiaxu Zhang, Shaoli Huang, Zhigang Tu, Xin Chen, Xiaohang Zhan

Nearly d-Linear Convergence Bounds for Diffusion Models via Stochastic Localization

Joe Benton, Valentin De Bortoli, Arnaud Doucet, George Deligiannidis

Bridging State and History Representations: Understanding Self-Predictive RL

Tianwei Ni, Benjamin Eysenbach, Erfan SeyedSalehi, Michel Ma, Clement Gehring

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue

When should we prefer Decision Transformers for Offline Reinforcement Learning?

Prajjwal Bhargava, Rohan Chitnis, Alborz Geramifard, Shagun Sodhani, Amy Zhang

Scaling Laws for Sparsely-Connected Foundation Models

Elias Frantar, Carlos Riquelme Ruiz, Neil Houlsby, Dan Alistarh, Utku Evci

The Expressive Power of Transformers with Chain of Thought

William Merrill, Ashish Sabharwal

DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING

Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie

Function-space Parameterization of Neural Networks for Sequential Learning

Aidan Scannell, Riccardo Mereu, Paul Edmund Chang, Ella Tamir, Joni Pajarinen

On Penalty Methods for Nonconvex Bilevel Optimization and First-Order Stochastic Approximation

Jeongyeol Kwon, Dohyun Kwon, Stephen Wright, Robert D Nowak

Bayesian Low-rank Adaptation for Large Language Models

Adam X. Yang, Maxime Robeyns, Xi Wang, Laurence Aitchison

LLMCarbon: Modeling the End-to-End Carbon Footprint of Large Language Models

Ahmad Faiz, Sotaro Kaneda, Ruhan Wang, Rita Chukwunyere Osi, Prateek Sharma

Consciousness-Inspired Spatio-Temporal Abstractions for Better Generalization in Reinforcement Learning

Harry Zhao, Safa Alver, Harm Van Seijen, Romain Laroche, Doina Precup

Amortizing intractable inference in large language models

Edward J Hu, Moksh Jain, Eric Elmoznino, Younesse Kaddar, Guillaume Lajoie

Cleanba: A Reproducible and Efficient Distributed Reinforcement Learning Platform

Shengyi Huang, Jiayi Weng, Rujikorn Charakorn, Min Lin, Zhongwen Xu

Learning to Act from Actionless Videos through Dense Correspondences

Po-Chen Ko, Jiayuan Mao, Yilun Du, Shao-Hua Sun, Joshua B. Tenenbaum

Meta Inverse Constrained Reinforcement Learning: Convergence Guarantee and Generalization Analysis

Shicheng Liu, Minghui Zhu

DreamLLM: Synergistic Multimodal Comprehension and Creation

Runpei Dong, Chunrui Han, Yuang Peng, Zekun Qi, Zheng Ge

How to Capture Higher-order Correlations? Generalizing Matrix Softmax Attention to Kronecker Computation

Josh Alman, Zhao Song

Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability

Songyao Jin, Feng Xie, Guangyi Chen, Biwei Huang, Zhengming Chen

Rethinking Label Poisoning for GNNs: Pitfalls and Attacks

Vijay Lingam, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski

Improving protein optimization with smoothed fitness landscapes

Andrew Kirjner, Jason Yim, Raman Samusevich, Shahar Bracha, Tommi S. Jaakkola

Learning Implicit Representation for Reconstructing Articulated Objects

Hao Zhang, Fang Li, Samyak Rawlekar, Narendra Ahuja

Delta-AI: Local objectives for amortized inference in sparse graphical models

Jean-Pierre René Falet, Hae Beom Lee, Nikolay Malkin, Chen Sun, Dragos Secrieru

How Does Unlabeled Data Provably Help Out-of-Distribution Detection?

Xuefeng Du, Zhen Fang, Ilias Diakonikolas, Yixuan Li

BECLR: Batch Enhanced Contrastive Few-Shot Learning

Stylianos Poulakakis-Daktylidis, Hadi Jamali-Rad

FLATTEN: optical FLow-guided ATTENtion for consistent text-to-video editing

Yuren Cong, Mengmeng Xu, Christian Simon, Shoufa Chen, Jiawei Ren

HIFA: High-fidelity Text-to-3D Generation with Advanced Diffusion Guidance

Junzhe Zhu, Peiye Zhuang, Sanmi Koyejo

Unveiling Options with Neural Network Decomposition

Mahdi Alikhasi, Levi Lelis

NOLA: Compressing LoRA using Linear Combination of Random Basis

Soroush Abbasi Koohpayegani, Navaneet K L, Parsa Nooralinejad, Soheil Kolouri, Hamed Pirsiavash

Patched Denoising Diffusion Models For High-Resolution Image Synthesis

Zheng Ding, Mengqi Zhang, Jiajun Wu, Zhuowen Tu

Complete and Efficient Graph Transformers for Crystal Material Property Prediction

Keqiang Yan, Cong Fu, Xiaofeng Qian, Xiaoning Qian, Shuiwang Ji

The Effect of Intrinsic Dataset Properties on Generalization: Unraveling Learning Differences Between Natural and Medical Images

Nicholas Konz, Maciej A Mazurowski

Pose Modulated Avatars from Video

Chunjin Song, Bastian Wandt, Helge Rhodin

Circumventing Concept Erasure Methods For Text-To-Image Generative Models

Minh Pham, Kelly O. Marshall, Niv Cohen, Govind Mittal, Chinmay Hegde

SWAP: Sparse Entropic Wasserstein Regression for Robust Network Pruning

Lei You, Hei Victor Cheng

Meaning Representations from Trajectories in Autoregressive Models

Tian Yu Liu, Matthew Trager, Alessandro Achille, Pramuditha Perera, Luca Zancato

Trajeglish: Traffic Modeling as Next-Token Prediction

Jonah Philion, Xue Bin Peng, Sanja Fidler

Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization

Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng

INViTE: INterpret and Control Vision-Language Models with Text Explanations

Haozhe Chen, Junfeng Yang, Carl Vondrick, Chengzhi Mao

Set Learning for Accurate and Calibrated Models

Lukas Muttenthaler, Robert A. Vandermeulen, Qiuyi Zhang, Thomas Unterthiner, Klaus Robert Muller

Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation

Ameya Daigavane, Song Eun Kim, Mario Geiger, Tess Smidt

Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks

Puja Trivedi, Mark Heimann, Rushil Anirudh, Danai Koutra, Jayaraman J. Thiagarajan

Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation

Qiang He, Tianyi Zhou, Meng Fang, Setareh Maghsudi

On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes

Rishabh Agarwal, Nino Vieillard, Yongchao Zhou, Piotr Stańczyk, Sabela Ramos Garea

SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation

Chongyu Fan, Jiancheng Liu, Yihua Zhang, Eric Wong, Dennis Wei

Pooling Image Datasets with Multiple Covariate Shift and Imbalance

Sotirios Panagiotis Chytas, Vishnu Suresh Lokhande, Vikas Singh

Ferret: Refer and Ground Anything Anywhere at Any Granularity

Haoxuan You, Haotian Zhang, Zhe Gan, Xianzhi Du, Bowen Zhang

Sin3DM: Learning a Diffusion Model from a Single 3D Textured Shape

Rundi Wu, Ruoshi Liu, Carl Vondrick, Changxi Zheng

TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series

Chenxi Sun, Hongyan Li, Yaliang Li, Shenda Hong

DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization

Yanpeng Zhao, Siyu Gao, Yunbo Wang, Xiaokang Yang

A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks

Haruo Hosoya

Making LLaMA SEE and Draw with SEED Tokenizer

Yuying Ge, Sijie Zhao, Ziyun Zeng, Yixiao Ge, Chen Li

Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts

Ruipeng Zhang, Ziqing Fan, Jiangchao Yao, Ya Zhang, Yanfeng Wang

Lewis's Signaling Game as beta-VAE For Natural Word Lengths and Segments

Ryo Ueda, Tadahiro Taniguchi

LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference

Yifan Feng, Yihe Luo, Shihui Ying, Yue Gao

NECO: NEural Collapse Based Out-of-distribution detection

Mouïn Ben Ammar, Nacim Belkhir, Sebastian Popescu, Antoine Manzanera, Gianni Franchi

Balancing Act: Constraining Disparate Impact in Sparse Models

Meraj Hashemizadeh, Juan Ramirez, Rohan Sukumaran, Golnoosh Farnadi, Simon Lacoste-Julien

Motion Guidance: Diffusion-Based Image Editing with Differentiable Motion Estimators

Daniel Geng, Andrew Owens

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE

Zeren Chen, Ziqin Wang, Zhen Wang, Huayang Liu, Zhenfei Yin

ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation

Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo

VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE

Haonan Yu, Wei Xu

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

Wenqi Shao, Mengzhao Chen, Zhaoyang Zhang, Peng Xu, Lirui Zhao

DreamSmooth: Improving Model-based Reinforcement Learning via Reward Smoothing

Vint Lee, Pieter Abbeel, Youngwoon Lee

FreeDyG: Frequency Enhanced Continuous-Time Dynamic Graph Model for Link Prediction

Yuxing Tian, Yiyan Qi, Fan Guo

THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS

Junchi Yu, Ran He, Zhitao Ying

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Yukang Chen, Shengju Qian, Haotian Tang, Xin Lai, Zhijian Liu