ICLR Papers
6,124 papers found • Page 98 of 123
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation
Yi Wang, Yinan He, Yizhuo Li et al.
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
Jiawei Sun, Kailai Li, Ruoxin Chen et al.
Interpretable Diffusion via Information Decomposition
Xianghao Kong, Ollie Liu, Han Li et al.
Interpretable Meta-Learning of Physical Systems
Matthieu Blanke, marc lelarge
Interpretable Sparse System Identification: Beyond Recent Deep Learning Techniques on Time-Series Prediction
Liu Xiaoyi, Duxin Chen, Wenjia Wei et al.
Interpreting CLIP's Image Representation via Text-Based Decomposition
Yossi Gandelsman, Alexei Efros, Jacob Steinhardt
Interpreting Robustness Proofs of Deep Neural Networks
Debangshu Banerjee, Avaljot Singh, Gagandeep Singh
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
Aoqi Zuo, yiqing li, Susan Wei et al.
Intriguing Properties of Data Attribution on Diffusion Models
Xiaosen Zheng, Tianyu Pang, Chao Du et al.
Intriguing Properties of Generative Classifiers
Priyank Jaini, Kevin Clark, Robert Geirhos
Invariance-based Learning of Latent Dynamics
Kai Lagemann, Christian Lagemann, Sach Mukherjee
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks
Shida Wang, Zhong Li, Qianxiao Li
Inversion by Direct Iteration: An Alternative to Denoising Diffusion for Image Restoration
Peyman Milanfar, Mauricio Delbracio
Investigating the Benefits of Projection Head for Representation Learning
Yihao Xue, Eric Gan, Jiayi Ni et al.
INViTE: INterpret and Control Vision-Language Models with Text Explanations
Haozhe Chen, Junfeng Yang, Carl Vondrick et al.
I-PHYRE: Interactive Physical Reasoning
Shiqian Li, Kewen Wu, Chi Zhang et al.
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
Yue Cao, Tianlin Li, Xiaofeng Cao et al.
Is attention required for ICL? Exploring the Relationship Between Model Architecture and In-Context Learning Ability
Ivan Lee, Nan Jiang, Taylor Berg-Kirkpatrick
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
Shashank Venkataramanan, Mamshad Nayeem Rizve, Joao Carreira et al.
Is Self-Repair a Silver Bullet for Code Generation?
Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang et al.
Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
Aleksandar Makelov, Georg Lange, Atticus Geiger et al.
Ito Diffusion Approximation of Universal Ito Chains for Sampling, Optimization and Boosting
Aleksei Ustimenko, Aleksandr Beznosikov
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
Yong Liu, Tengge Hu, Haoran Zhang et al.
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech Recognition
CHEN CHEN, Ruizhe Li, Yuchen Hu et al.
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
Erfan Shayegani, Yue Dong, Nael Abu-Ghazaleh
Jointly-Learned Exit and Inference for a Dynamic Neural Network
Florence Regol, Joud Chataoui, Mark Coates
Jointly Training Large Autoregressive Multimodal Models
Emanuele Aiello, Lili Yu, Yixin Nie et al.
JointNet: Extending Text-to-Image Diffusion for Dense Distribution Modeling
Jingyang Zhang, Shiwei Li, Yuanxun Lu et al.
JoMA: Demystifying Multilayer Transformers via Joint Dynamics of MLP and Attention
Yuandong Tian, Yiping Wang, Zhenyu Zhang et al.
Jumanji: a Diverse Suite of Scalable Reinforcement Learning Environments in JAX
Clément Bonnet, Daniel Luo, Donal Byrne et al.
Kalman Filter for Online Classification of Non-Stationary Data
Michalis Titsias, Alexandre Galashov, Amal Rannen-Triki et al.
Kernelised Normalising Flows
Eshant English, Matthias Kirchler, Christoph Lippert
Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies
Haanvid Lee, Tri Wahyu Guntara, Jongmin Lee et al.
Kill Two Birds with One Stone: Rethinking Data Augmentation for Deep Long-tailed Learning
Binwu Wang, Pengkun Wang, Wei Xu et al.
KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
Marah I Abdin, Suriya Gunasekar, Varun Chandrasekaran et al.
Knowledge Card: Filling LLMs' Knowledge Gaps with Plug-in Specialized Language Models
Shangbin Feng, Weijia Shi, Yuyang Bai et al.
Knowledge Distillation Based on Transformed Teacher Matching
Kaixiang Zheng, EN-HUI YANG
Knowledge Fusion of Large Language Models
Fanqi Wan, Xinting Huang, Deng Cai et al.
KoLA: Carefully Benchmarking World Knowledge of Large Language Models
Jifan Yu, Xiaozhi Wang, Shangqing Tu et al.
Koopman-based generalization bound: New aspect for full-rank weights
Yuka Hashimoto, Sho Sonoda, Isao Ishikawa et al.
Kosmos-G: Generating Images in Context with Multimodal Large Language Models
Xichen Pan, Li Dong, Shaohan Huang et al.
KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
Zhangyang Gao, Cheng Tan, Xingran Chen et al.
L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar
L2P-MIP: Learning to Presolve for Mixed Integer Programming
Chang Liu, Zhichen Dong, Haobo Ma et al.
Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models
Shaofei Shen, Chenhao Zhang, Yawen Zhao et al.
LabelDP-Pro: Learning with Label Differential Privacy via Projections
Badih Ghazi, Yangsibo Huang, Pritish Kamath et al.
Label-Focused Inductive Bias over Latent Object Features in Visual Classification
Ilmin Kang, HyounYoung Bae, Kangil Kim
Label-free Node Classification on Graphs with Large Language Models (LLMs)
Zhikai Chen, Haitao Mao, Hongzhi Wen et al.
Label-Noise Robust Diffusion Models
Byeonghu Na, Yeongmin Kim, HeeSun Bae et al.
Lagrangian Flow Networks for Conservation Laws
Fabricio Arend Torres, Marcello Negri, Marco Inversi et al.