ICLR Papers
6,124 papers found • Page 80 of 123
An LLM can Fool Itself: A Prompt-Based Adversarial Attack
Xilie Xu, Keyi Kong, Ning Liu et al.
Annealing Self-Distillation Rectification Improves Adversarial Training
Yu-Yu Wu, Hung-Jui Wang, Shang-Tse Chen
AnomalyCLIP: Object-agnostic Prompt Learning for Zero-shot Anomaly Detection
Qihang Zhou, Guansong Pang, Yu Tian et al.
An operator preconditioning perspective on training in physics-informed machine learning
Tim De Ryck, Florent Bonnet, Siddhartha Mishra et al.
AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos?
Qi Zhao, Shijie Wang, Ce Zhang et al.
An Unforgeable Publicly Verifiable Watermark for Large Language Models
Aiwei Liu, Leyi Pan, Xuming Hu et al.
AnyText: Multilingual Visual Text Generation and Editing
Yuxiang Tuo, Wangmeng Xiang, Jun-Yan He et al.
A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models
Haoran Xu, Young Jin Kim, Amr Mohamed Nabil Aly Aly Sharaf et al.
A path-norm toolkit for modern networks: consequences, promises and challenges
Antoine Gonon, Nicolas Brisebarre, Elisa Riccietti et al.
A Plug-and-Play Image Registration Network
JUNHAO HU, Weijie Gan, Zhixin Sun et al.
A Poincaré Inequality and Consistency Results for Signal Sampling on Large Graphs
Thien Le, Luana Ruiz, Stefanie Jegelka
A Policy Gradient Method for Confounded POMDPs
Mao Hong, Zhengling Qi, Yanxun Xu
Approximately Piecewise E(3) Equivariant Point Networks
Matan Atzmon, Jiahui Huang, Francis Williams et al.
Approximating Nash Equilibria in Normal-Form Games via Stochastic Optimization
Ian Gemp, Luke Marris, Georgios Piliouras
A Precise Characterization of SGD Stability Using Loss Surface Geometry
Gregory Dexter, Borja Ocejo, Sathiya Keerthi et al.
A Primal-Dual Approach to Solving Variational Inequalities with General Constraints
Tatjana Chavdarova, Tong Yang, Matteo Pagliardini et al.
A Probabilistic Framework for Modular Continual Learning
Lazar Valkov, Akash Srivastava, Swarat Chaudhuri et al.
A Progressive Training Framework for Spiking Neural Networks with Learnable Multi-hierarchical Model
Zecheng Hao, Xinyu Shi, Zihan Huang et al.
A Quadratic Synchronization Rule for Distributed Deep Learning
Xinran Gu, Kaifeng Lyu, Sanjeev Arora et al.
ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor
Tong Zhou, Shaolei Ren, Xiaolin Xu
A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis
Izzeddin Gur, Hiroki Furuta, Austin Huang et al.
Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations
yisheng xiao, Juntao Li, Zechen Sun et al.
A Recipe for Improved Certifiable Robustness
Kai Hu, Klas Leino, Zifan Wang et al.
Are Human-generated Demonstrations Necessary for In-context Learning?
Rui Li, Guoyin Wang, Jiwei Li
Are Models Biased on Text without Gender-related Language?
Catarina Belém, Preethi Seshadri, Yasaman Razeghi et al.
A representation-learning game for classes of prediction tasks
Neria Uzan, Nir Weinberger
A Restoration Network as an Implicit Prior
Yuyang Hu, Mauricio Delbracio, Peyman Milanfar et al.
Are Transformers with One Layer Self-Attention Using Low-Rank Weight Matrices Universal Approximators?
Tokio Kajitsuka, Issei Sato
ARGS: Alignment as Reward-Guided Search
Maxim Khanov, Jirayu Burapacheep, Yixuan Li
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning
Jiecheng Lu, Xu Han, Shihao Yang
A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER
Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen et al.
A Semantic Invariant Robust Watermark for Large Language Models
Aiwei Liu, Leyi Pan, Xuming Hu et al.
ASID: Active Exploration for System Identification in Robotic Manipulation
Marius Memmel, Andrew Wagenmaker, Chuning Zhu et al.
A Simple and Effective Pruning Approach for Large Language Models
Mingjie Sun, Zhuang Liu, Anna Bair et al.
A Simple and Scalable Representation for Graph Generation
Yunhui Jang, Seul Lee, Sungsoo Ahn
A Simple Interpretable Transformer for Fine-Grained Image Classification and Analysis
DIPANJYOTI PAUL, Arpita Chowdhury, Xinqi Xiong et al.
A Simple Romance Between Multi-Exit Vision Transformer and Token Reduction
Dongyang Liu, Meina Kan, Shiguang Shan et al.
ASMR: Activation-Sharing Multi-Resolution Coordinate Networks for Efficient Inference
Jason Chun Lok Li, Steven Luo, Le Xu et al.
Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
Jean-Rémy Conti, Stephan CLEMENCON
A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks
Tommaso Salvatori, Yuhang Song, Yordan Yordanov et al.
A Statistical Analysis of Wasserstein Autoencoders for Intrinsically Low-dimensional Data
Saptarshi Chakraborty, Peter Bartlett
A Study of Bayesian Neural Network Surrogates for Bayesian Optimization
Yucen Li, Tim G. J. Rudner, Andrew Gordon Wilson
A Sublinear Adversarial Training Algorithm
Yeqi Gao, Lianke Qin, Zhao Song et al.
A Symmetry-Aware Exploration of Bayesian Neural Network Posteriors
Olivier Laurent, Emanuel Aldea, Gianni Franchi
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
Pratik Patil, Daniel LeJeune
A Topological Perspective on Demystifying GNN-Based Link Prediction Performance
Yu Wang, Tong Zhao, Yuying Zhao et al.
Attacking Perceptual Similarity Metrics
Abhijay Ghildyal, Feng Liu
Attention-based Iterative Decomposition for Tensor Product Representation
Taewon Park, inchul choi, Minho Lee
Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning
Zican Hu, Zongzhang Zhang, Huaxiong Li et al.
Attention Satisfies: A Constraint-Satisfaction Lens on Factual Errors of Language Models
Mert Yuksekgonul, Varun Chandrasekaran, Erik Jones et al.