Papers
Action abstractions for amortized sampling
Oussama Boussif, Lena Nehale Ezzine, Joseph D Viviano et al.
Action-Agnostic Point-Level Supervision for Temporal Action Detection
Shuhei M. Yoshida, Takashi Shibata, Makoto Terao et al.
Action-Conditioned Hamiltonian Generative Networks (AC-HGN) for Supervised and Reinforcement Learning
Arne Troch, Kevin Mets, Siegfried Mercelis
Action-Constrained Imitation Learning
Chia-Han Yeh, Tse-Sheng Nan, Risto Vuorio et al.
Action-Dependent Optimality-Preserving Reward Shaping
Grant Collier Forbes, Jianxun Wang, Leonardo Villalobos-Arias et al.
Action Detail Matters: Refining Video Recognition with Local Action Queries
Mengmeng Wang, Zeyi Huang, Xiangjie Kong et al.
ActionDiffusion: An Action-Aware Diffusion Model for Procedure Planning in Instructional Videos
Lei Shi, Paul-Christian Bürkner, Andreas Bulling
Action Dubber: Timing Audible Actions via Inflectional Flow
Wenlong Wan, Weiying Zheng, Tianyi Xiang et al.
Action Flow Matching for Lifelong Learning
Alejandro Murillo-González, Lantao Liu
Action-Free Reasoning for Policy Generalization
Jaden Clark, Suvir Mirchandani, Dorsa Sadigh et al.
Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional
Sanjeev Raja, Martin Sipka, Michael Psenka et al.
ActionPiece: Contextually Tokenizing Action Sequences for Generative Recommendation
Yupeng Hou, Jianmo Ni, Zhankui He et al.
ActionReasoningBench: Reasoning about Actions with and without Ramification Constraints
Divij Handa, Pavel Dolin, Shrinidhi Kumbhar et al.
Action Sequence Augmentation for Action Anticipation
Yihui Qiu, Deepu Rajan
Actions Speak Louder Than Words: Rate-Reward Trade-off in Markov Decision Processes
Haotian Wu, Gongpu Chen, Deniz Gunduz
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
Jianguo Zhang, Thai Hoang, Ming Zhu et al.
Activating Distributed Visual Region within LLMs for Efficient and Effective Vision-Language Training and Inference
Siyuan Wang, Dianyi Wang, Chengxing Zhou et al.
Activating Sparse Part Concepts for 3D Class Incremental Learning
Zhenya Tian, Jun Xiao, Lupeng Liu et al.
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
Sangyeon Park, Isaac Han, Seungwon Oh et al.
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
Danni Yuan, Mingda Zhang, Shaokui Wei et al.
Activation Space Interventions Can Be Transferred Between Large Language Models
Narmeen Fatimah Oozeer, Dhruv Nathawani, Nirmalendu Prakash et al.
Activation Steering Decoding: Mitigating Hallucination in Large Vision-Language Models through Bidirectional Hidden State Intervention
Jingran Su, Jingfan Chen, Hongxin Li et al.
Activation Subspaces for Out-of-Distribution Detection
Barış Zöngür, Robin Hesse, Stefan Roth
Active Bipartite Ranking with Smooth Posterior Distributions
James Cheshire, Stephan Clémençon
Active Curriculum Language Modeling over a Hybrid Pre-training Method
Eleni Fysikoudi, Sharid Loáiciga, Asad B. Sayeed