Most Cited ICLR "model safety amplification" Papers

SocioDojo: Building Lifelong Analytical Agents with Real-world Text and Time Series

Junyan Cheng, Peter Chin

HyperPLR: Hypergraph Generation through Projection, Learning, and Reconstruction

Weihuang Wen, Tianshu Yu

Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning

Xinyue Wang, Biwei Huang

A unique M-pattern for micro-expression spotting in long videos

Jinxuan Wang, Shiting Xu, Tong Zhang

HiRA: Parameter-Efficient Hadamard High-Rank Adaptation for Large Language Models

Qiushi Huang, Tom Ko, Zhan ZHUANG et al.

Modeling state-dependent communication between brain regions with switching nonlinear dynamical systems

Orren Karniol-Tambour, David Zoltowski, E. Mika Diamanti et al.

Jump Your Steps: Optimizing Sampling Schedule of Discrete Diffusion Models

Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa et al.

Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning

Mingyuan Fan, Zhanyi Hu, Fuyi Wang et al.

PhysPDE: Rethinking PDE Discovery and a Physical HYpothesis Selection Benchmark

Mingquan Feng, Yixin Huang, Yizhou Liu et al.

K-HALU: Multiple Answer Korean Hallucination Benchmark for Large Language Models

Jaehyung Seo, Heuiseok Lim

Long-Short Decision Transformer: Bridging Global and Local Dependencies for Generalized Decision-Making

Jincheng Wang, Penny Karanasou, Pengyuan Wei et al.

Faithful Vision-Language Interpretation via Concept Bottleneck Models

Songning Lai, Lijie Hu, Junxiao Wang et al.

Multi-Resolution Decomposable Diffusion Model for Non-Stationary Time Series Anomaly Detection

Guojin Zhong, pan wang, Jin Yuan et al.

Stylized Offline Reinforcement Learning: Extracting Diverse High-Quality Behaviors from Heterogeneous Datasets

Yihuan Mao, Chengjie Wu, Xi Chen et al.

Threaten Spiking Neural Networks through Combining Rate and Temporal Information

Zecheng Hao, Tong Bu, Xinyu Shi et al.

Learning to Search from Demonstration Sequences

Dixant Mittal, Liwei Kang, Wee Sun Lee

A Newborn Embodied Turing Test for Comparing Object Segmentation Across Animals and Machines

Manju Garimella, Denizhan Pak, Justin Wood et al.

Joint Gradient Balancing for Data Ordering in Finite-Sum Multi-Objective Optimization

Hansi Yang, James Kwok

Efficient Top-m Data Values Identification for Data Selection

Xiaoqiang Lin, Xinyi Xu, See-Kiong Ng et al.

Manifold Constraint Reduces Exposure Bias in Accelerated Diffusion Sampling

Divergence of Neural Tangent Kernel in Classification Problems

Zixiong Yu, Songtao Tian, Guhan Chen

Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World

Chunshu Wu, Ruibing Song, Chuan Liu et al.

W-PCA Based Gradient-Free Proxy for Efficient Search of Lightweight Language Models

Shang Wang

Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding

Yuanhao Xiong, Long Zhao, Boqing Gong et al.

Cross-Domain Off-Policy Evaluation and Learning for Contextual Bandits

Yuta Natsubori, Masataka Ushiku, Yuta Saito

Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks

Bhaskar Mukhoty, Hilal AlQuabeh, Giulia De Masi et al.

Improving Unsupervised Constituency Parsing via Maximizing Semantic Information

Junjie Chen, Xiangheng He, Yusuke Miyao et al.

Denoising Levy Probabilistic Models

Dario Shariatian, Umut Simsekli, Alain Oliviero Durmus

Flat Reward in Policy Parameter Space Implies Robust Reinforcement Learning

HyunKyu Lee, Sung Whan Yoon

Regularized Proportional Fairness Mechanism for Resource Allocation Without Money

Sujay Bhatt, Alec Koppel, Sumitra Ganesh et al.

Making Transformer Decoders Better Differentiable Indexers

Wuchao Li, Kai Zheng, Defu Lian et al.

Retri3D: 3D Neural Graphics Representation Retrieval

Yushi Guan, Daniel Kwan, Jean Dandurand et al.

RingAttention with Blockwise Transformers for Near-Infinite Context

Hao Liu, Matei Zaharia, Pieter Abbeel

Why In-Context Learning Models are Good Few-Shot Learners?

Shiguang Wu, Yaqing Wang, Quanming Yao

Co$^{\mathbf{3}}$Gesture: Towards Coherent Concurrent Co-speech 3D Gesture Generation with Interactive Diffusion

Xingqun Qi, Yatian Wang, Hengyuan Zhang et al.

Debiasing Attention Mechanism in Transformer without Demographics

Shenyu Lu, Yipei Wang, Xiaoqian Wang

Oracle efficient truncated statistics

Konstantinos Karatapanis, Vasilis Kontonis, Christos Tzamos

Graph Transformers on EHRs: Better Representation Improves Downstream Performance

Raphael Poulain, Rahmatollah Beheshti

An Illustrated Guide to Automatic Sparse Differentiation

Adrian Hill, Guillaume Dalle, Alexis Montoison

Enhancing Compositional Text-to-Image Generation with Reliable Random Seeds

Shuangqi Li, Hieu Le, Jingyi Xu et al.

Scalable Modular Network: A Framework for Adaptive Learning via Agreement Routing

Minyang Hu, Hong Chang, Bingpeng Ma et al.

Improved Regret Bounds for Non-Convex Online-Within-Online Meta Learning

Jiechao GUAN, Hui Xiong

Can One Modality Model Synergize Training of Other Modality Models?

Jae-Jun Lee, Sung Whan Yoon

Do WGANs succeed because they minimize the Wasserstein Distance? Lessons from Discrete Generators

Ariel Elnekave, Yair Weiss

Integral Performance Approximation for Continuous-Time Reinforcement Learning Control

Brent Wallace, Jennie Si

Asymmetric Factorized Bilinear Operation for Vision Transformer

Junjie Wu, Qilong Wang, Jiangtao Xie et al.

A Theoretically-Principled Sparse, Connected, and Rigid Graph Representation of Molecules

Shih-Hsin Wang, Yuhao Huang, Justin Baker et al.

Efficient Cross-Episode Meta-RL

Gresa Shala, André Biedenkapp, Pierre Krack et al.

Hypergraph Dynamic System

Jielong Yan, Yifan Feng, Shihui Ying et al.

Atomas: Hierarchical Adaptive Alignment on Molecule-Text for Unified Molecule Understanding and Generation

Yikun Zhang, Geyan Ye, Chaohao Yuan et al.

Logic-Logit: A Logic-Based Approach to Choice Modeling

Shuhan Zhang, Wendi Ren, Shuang Li

Differential Transformer

Tianzhu Ye, Li Dong, Yuqing Xia et al.

VideoGLUE: Video General Understanding Evaluation of Foundation Models

Boqing Gong, Yin Cui, Long Zhao et al.

Boosting the Adversarial Robustness of Graph Neural Networks: An OOD Perspective

Kuan Li, YiWen Chen, Yang Liu et al.

Discriminator-Guided Embodied Planning for LLM Agent

Haofu Qian, Chenjia Bai, Jiatao Zhang et al.

Training Free Guided Flow-Matching with Optimal Control

Luran Wang, Chaoran Cheng, Yizhen Liao et al.

RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment

Kevin Yang, Dan Klein, Asli Celikyilmaz et al.

Brain Bandit: A Biologically Grounded Neural Network for Efficient Control of Exploration

Chen Jiang, Jiahui An, Yating Liu et al.

You Only Query Once: An Efficient Label-Only Membership Inference Attack

Yutong Wu, Han Qiu, Shangwei Guo et al.

Mind the GAP: Glimpse-based Active Perception improves generalization and sample efficiency of visual reasoning

Oleh Kolner, Thomas Ortner, Stanisław Woźniak et al.

An Image Is Worth 1000 Lies: Transferability of Adversarial Images across Prompts on Vision-Language Models

Haochen Luo, Jindong Gu, Fengyuan Liu et al.

Unveiling Options with Neural Network Decomposition

Mahdi Alikhasi, Levi Lelis

Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction

Liu Xiaoyi, Duxin Chen, Wenjia Wei et al.

FedInverse: Evaluating Privacy Leakage in Federated Learning

DI WU, Jun Bai, Yiliao Song et al.

CircuitNet 2.0: An Advanced Dataset for Promoting Machine Learning Innovations in Realistic Chip Design Environment

Xun Jiang, zhuomin chai, Yuxiang Zhao et al.

Enhancing Vision-Language Model with Unmasked Token Alignment

Hongsheng Li, Jihao Liu, Boxiao Liu et al.

BTBS-LNS: Binarized-Tightening, Branch and Search on Learning LNS Policies for MIP

Hao Yuan, wenli ouyang, Changwen Zhang et al.

On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks

Zi Wang, Bin Hu, Aaron Havens et al.

Optimal criterion for feature learning of two-layer linear neural network in high dimensional interpolation regime

Keita Suzuki, Taiji Suzuki

HGM³: Hierarchical Generative Masked Motion Modeling with Hard Token Mining

Minjae Jeong, Yechan Hwang, Jaejin Lee et al.

The Illustrated AlphaFold

Elana Simon, Jake Silberg

Robust Transfer of Safety-Constrained Reinforcement Learning Agents

Markel Zubia, Thiago Simão, Nils Jansen

Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain

Quanrui Rao, Lin Wang, Wuying Liu

Noise-conditioned Energy-based Annealed Rewards (NEAR): A Generative Framework for Imitation Learning from Observation

Anish Abhijit Diwan, Julen Urain, Jens Kober et al.

Flow to Better: Offline Preference-based Reinforcement Learning via Preferred Trajectory Generation

Zhilong Zhang, Yihao Sun, Junyin Ye et al.

Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold

Sixin Zhang

VBH-GNN: Variational Bayesian Heterogeneous Graph Neural Networks for Cross-subject Emotion Recognition

Chenyu Liu, XINLIANG ZHOU, Zhengri Zhu et al.

Neural Rate Control for Learned Video Compression

yiwei zhang, Guo Lu, Yunuo Chen et al.

PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code

Xuan Ju, Ailing Zeng, Yuxuan Bian et al.

BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics

Suresh Suresh, Jayadeva Jayadeva, Sayan Ranu et al.

A deep inverse-mapping model for a flapping robotic wing

Hadar Sharvit, Raz Karl, Tsevi Beatus

Youku Dense Caption: A Large-scale Chinese Video Dense Caption Dataset and Benchmarks

Zixuan Xiong, Guangwei Xu, wenkai zhang et al.

Structural Fairness-aware Active Learning for Graph Neural Networks

Haoyu Han, Xiaorui Liu, Li Ma et al.

Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling

Jiayang Liu, Yiming Bu, Daniel Tso et al.

FlickerFusion: Intra-trajectory Domain Generalizing Multi-agent Reinforcement Learning

Woosung Koh, Wonbeen Oh, Siyeol Kim et al.

Plug, Play, and Generalize: Length Extrapolation with Pointer-Augmented Neural Memory

Svetha Venkatesh, Kien Do, Hung Le et al.

Improved Convergence Rate for Diffusion Probabilistic Models

Gen Li, Yuchen Jiao

Rapid Selection and Ordering of In-Context Demonstrations via Prompt Embedding Clustering

Kha Pham, Hung Le, Man Ngo et al.

SymDiff: Equivariant Diffusion via Stochastic Symmetrisation

Leo Zhang, Kianoosh Ashouritaklimi, Yee Whye Teh et al.

Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation

Ziqi Wang, Chengpeng Hu, Jialin Liu et al.

AttEXplore: Attribution for Explanation with model parameters eXploration

Zhiyu Zhu, Huaming Chen, Jiayu Zhang et al.

MA$^2$E: Addressing Partial Observability in Multi-Agent Reinforcement Learning with Masked Auto-Encoder

Sehyeok Kang, Yongsik Lee, Gahee Kim et al.

Local Composite Saddle Point Optimization

Site Bai, Brian Bullins

Prediction Risk and Estimation Risk of the Ridgeless Least Squares Estimator under General Assumptions on Regression Errors

Sungyoon Lee, Sokbae Lee

Transformer-Modulated Diffusion Models for Probabilistic Multivariate Time Series Forecasting

Yuxin Li, Wenchao Chen, Xinyue Hu et al.

sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows

Dongjin Kim, Donggoo Jung, Sungyong Baik et al.

A Visual Dive into Conditional Flow Matching

Anne Gagneux, Ségolène Martin, Rémi Emonet et al.

Language Model Detectors Are Easily Optimized Against

Charlotte Nicks, Eric Mitchell, Rafael Rafailov et al.

Pre-training of Foundation Adapters for LLM Fine-tuning

Linh The Nguyen, Dat Quoc Nguyen

Relation-Aware Diffusion for Heterogeneous Graphs with Partially Observed Features

Daeho Um, Yoonji Lee, Jiwoong Park et al.

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Prompt Gradient Projection for Continual Learning

Jingyang Qiao, Zhizhong Zhang, Xin Tan et al.

Do vision models perceive objects like toddlers ?

Arthur Aubret, Jochen Triesch

Efficient Neuron Segmentation in Electron Microscopy by Affinity-Guided Queries

Hang Chen, Chufeng Tang, Xiao Li et al.

Effective post-training embedding compression via temperature control in contrastive training

georgiana dinu, Corey Barrett, Yi Xiang et al.

In vivo cell-type and brain region classification via multimodal contrastive learning

Han Yu, Hanrui Lyu, YiXun Xu et al.

VoxDialogue: Can Spoken Dialogue Systems Understand Information Beyond Words?

Xize Cheng, Ruofan Hu, Xiaoda Yang et al.

Neural Neighborhood Search for Multi-agent Path Finding

Zhongxia Yan, Cathy Wu

Manipulating dropout reveals an optimal balance of efficiency and robustness in biological and machine visual systems

Jacob Prince, Gabriel Fajardo, George Alvarez et al.

MMD-Regularized Unbalanced Optimal Transport

SakethaNath Jagarlapudi, Pratik Jawanpuria, Piyushi Manupriya

Hybrid Regularization Improves Diffusion-based Inverse Problem Solving

Hongkun Dou, Zeyu Li, Jinyang Du et al.

Improved Sampling Algorithms for Lévy-Itô Diffusion Models

Vadim Popov, Assel Yermekova, Tasnima Sadekova et al.

Neural Stochastic Differential Equations for Uncertainty-Aware Offline RL

Cevahir Koprulu, Franck Djeumou, ufuk topcu

Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration

Yujia Wang, Yuanpu Cao, Jingcheng Wu et al.

Bias Mitigation in Graph Diffusion Models

Meng Yu, Kun Zhan

Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning

Feiyang YE, YUEMING LYU, Xuehao Wang et al.

DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning

Jing Xiong, Zixuan Li, Chuanyang Zheng et al.

A Stochastic Approach to the Subset Selection Problem via Mirror Descent

Dan Greenstein, Elazar Gershuni, Ilan Ben-Bassat et al.

Optimality of Matrix Mechanism on $\ell_p^p$-metric

Zongrui Zou, Jingcheng Liu, Jalaj Upadhyay

Gap Preserving Distillation by Building Bidirectional Mappings with A Dynamic Teacher

Yong Guo, Shulian Zhang, Haolin Pan et al.

Scalable Extraction of Training Data from Aligned, Production Language Models

Milad Nasr, Javier Rando, Nicholas Carlini et al.

Beyond Mere Token Analysis: A Hypergraph Metric Space Framework for Defending Against Socially Engineered LLM Attacks

Manohar Kaul, Aditya Saibewar, Sadbhavana Babar

Has the Deep Neural Network learned the Stochastic Process? An Evaluation Viewpoint

Harshit Kumar, Beomseok Kang, Biswadeep Chakraborty et al.

NeRM: Learning Neural Representations for High-Framerate Human Motion Synthesis

Dong Wei, Huaijiang Sun, Bin Li et al.