Papers
11,955 papers found
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
Shashanka 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.
iStack: A General and Stateful Name-based Protocol Stack for Named Data Networking
Tianlong Li, Tian Song, Yating Yang
Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching
Aleksandar Makelov, Georg Lange, Atticus Geiger et al.
Iterative Ensemble Training with Anti-Gradient Control for Mitigating Memorization in Diffusion Models
Xiao Liu, Xiaoliu Guan, Yu Wu 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 John 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.
Keypoint Promptable Re-Identification
Vladimir Somers, Alexandre Alahi, Christophe De Vleeschouwer
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