ICLR 2025 Papers
3,827 papers found • Page 5 of 77
An Engorgio Prompt Makes Large Language Model Babble on
Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang et al.
An Evolved Universal Transformer Memory
Edoardo Cetin, Qi Sun, Tianyu Zhao et al.
A new framework for evaluating model out-of-distribution generalisation for the biochemical domain
Raul Fernandez-Diaz, Hoang Thanh Lam, Vanessa Lopez et al.
A New Perspective on Shampoo's Preconditioner
Depen Morwani, Itai Shapira, Nikhil Vyas et al.
An Exploration with Entropy Constrained 3D Gaussians for 2D Video Compression
Xiang Liu, Bin Chen, Zimo Liu et al.
An Illustrated Guide to Automatic Sparse Differentiation
Adrian Hill, Guillaume Dalle, Alexis Montoison
An Image is Worth More Than 16x16 Patches: Exploring Transformers on Individual Pixels
Duy-Kien Nguyen, Mahmoud Assran, Unnat Jain et al.
Animate-X: Universal Character Image Animation with Enhanced Motion Representation
Shuai Tan, Biao Gong, Xiang Wang et al.
Animate Your Thoughts: Reconstruction of Dynamic Natural Vision from Human Brain Activity
Yizhuo Lu, Changde Du, Chong Wang et al.
An Information Criterion for Controlled Disentanglement of Multimodal Data
Chenyu Wang, Sharut Gupta, Xinyi Zhang et al.
An Intelligent Agentic System for Complex Image Restoration Problems
Kaiwen Zhu, Jinjin Gu, Zhiyuan You et al.
AniSDF: Fused-Granularity Neural Surfaces with Anisotropic Encoding for High-Fidelity 3D Reconstruction
Jingnan Gao, Zhuo Chen, Xiaokang Yang et al.
AnoLLM: Large Language Models for Tabular Anomaly Detection
Che-Ping Tsai, Ganyu Teng, Phillip Wallis et al.
A Non-Contrastive Learning Framework for Sequential Recommendation with Preference-Preserving Profile Generation
Huimin Zeng, Xiaojie Wang, Anoop Jain et al.
An Online Learning Theory of Trading-Volume Maximization
Tommaso Cesari, Roberto Colomboni
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning
Haoran Xu, Shuozhe Li, Harshit Sikchi et al.
Answer, Assemble, Ace: Understanding How LMs Answer Multiple Choice Questions
Sarah Wiegreffe, Oyvind Tafjord, Yonatan Belinkov et al.
Anti-Exposure Bias in Diffusion Models
Junyu Zhang, Daochang Liu, Eunbyung Park et al.
An Undetectable Watermark for Generative Image Models
Samuel Gunn, Xuandong Zhao, Dawn Song
Anyprefer: An Agentic Framework for Preference Data Synthesis
Yiyang Zhou, Zhaoyang Wang, Tianle Wang et al.
Any-step Dynamics Model Improves Future Predictions for Online and Offline Reinforcement Learning
Haoxin Lin, Yu-Yan Xu, Yihao Sun et al.
AnyTouch: Learning Unified Static-Dynamic Representation across Multiple Visuo-tactile Sensors
Ruoxuan Feng, Jiangyu Hu, Wenke Xia et al.
APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding
Xinyu Yang, Tianqi Chen, Beidi Chen
A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language
Ekdeep Singh Lubana, Kyogo Kawaguchi, Robert Dick et al.
A Periodic Bayesian Flow for Material Generation
Hanlin Wu, Yuxuan Song, Jingjing Gong et al.
API Pack: A Massive Multi-Programming Language Dataset for API Call Generation
Gavin (Zhen) Guo, Adriana Meza Soria, Wei Sun et al.
A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
Mingyang Liu, Gabriele Farina, Asuman Ozdaglar
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
Haoyang Liu, Jie Wang, Zijie Geng et al.
Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence
Dharmesh Tailor, Alvaro Correia, Eric Nalisnick et al.
Approximation algorithms for combinatorial optimization with predictions
Antonios Antoniadis, Marek Elias, Adam Polak et al.
A primer on analytical learning dynamics of nonlinear neural networks
Rodrigo Carrasco-Davis, Erin Grant
A Probabilistic Perspective on Unlearning and Alignment for Large Language Models
Yan Scholten, Stephan Günnemann, Leo Schwinn
A Quantum Circuit-Based Compression Perspective for Parameter-Efficient Learning
Chen-Yu Liu, Chao-Han Huck Yang, Hsi-Sheng Goan et al.
A Rainbow in Deep Network Black Boxes
Florentin Guth, Brice Ménard, Gaspar Rochette et al.
ARB-LLM: Alternating Refined Binarizations for Large Language Models
Zhiteng Li, Xianglong Yan, Tianao Zhang et al.
Are Large Vision Language Models Good Game Players?
Xinyu Wang, Bohan Zhuang, Qi Wu
Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
Yutong Yin, Zhaoran Wang
Aria-MIDI: A Dataset of Piano MIDI Files for Symbolic Music Modeling
Louis Bradshaw, Simon Colton
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics
Katharina Friedl, Noémie Jaquier, Jens Lundell et al.
Arithmetic Transformers Can Length-Generalize in Both Operand Length and Count
Hanseul Cho, Jaeyoung Cha, Srinadh Bhojanapalli et al.
Arithmetic Without Algorithms: Language Models Solve Math with a Bag of Heuristics
Yaniv Nikankin, Anja Reusch, Aaron Mueller et al.
ARLON: Boosting Diffusion Transformers with Autoregressive Models for Long Video Generation
Zongyi Li, Shujie HU, Shujie LIU et al.
A Robust Method to Discover Causal or Anticausal Relation
Yu Yao, Yang Zhou, Bo Han et al.
Articulate-Anything: Automatic Modeling of Articulated Objects via a Vision-Language Foundation Model
Long Le, Jason Xie, William Liang et al.
Artificial Kuramoto Oscillatory Neurons
Takeru Miyato, Sindy Löwe, Andreas Geiger et al.
A Sanity Check for AI-generated Image Detection
Shilin Yan, Ouxiang Li, Jiayin Cai et al.
A Second-Order Perspective on Model Compositionality and Incremental Learning
Angelo Porrello, Lorenzo Bonicelli, Pietro Buzzega et al.
A Simple Approach to Unifying Diffusion-based Conditional Generation
Xirui Li, Charles Herrmann, Kelvin Chan et al.
A Simple Framework for Open-Vocabulary Zero-Shot Segmentation
Thomas Stegmüller, Tim Lebailly, Nikola Đukić et al.