Papers
A Certified Unlearning Approach without Access to Source Data
Umit Yigit Basaran, Sk Miraj Ahmed, Amit Roy-Chowdhury et al.
A Chaotic Dynamics Framework Inspired by Dorsal Stream for Event Signal Processing
Yu Chen, Jing Lian, Zhaofei Yu et al.
Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks
Liyuan Liang, Xinyi Chen, Gan Luo et al.
A Classification View on Meta Learning Bandits
Mirco Mutti, Jeongyeol Kwon, Shie Mannor et al.
A Closer Look at Backdoor Attacks on CLIP
Shuo He, Zhifang Zhang, Feng Liu et al.
A Closer Look at Generalized BH Algorithm for Out-of-Distribution Detection
Xinsong Ma, Jie Wu, Weiwei Liu
A Closer Look at Multimodal Representation Collapse
Abhra Chaudhuri, Anjan Dutta, Tu Bui et al.
A Closer Look at Transformers for Time Series Forecasting: Understanding Why They Work and Where They Struggle
Yu Chen, Nathalia Céspedes, Payam Barnaghi
A Cognac Shot To Forget Bad Memories: Corrective Unlearning for Graph Neural Networks
Varshita Kolipaka, Akshit Sinha, Debangan Mishra et al.
A Comprehensive Framework for Analyzing the Convergence of Adam: Bridging the Gap with SGD
Ruinan Jin, Xiao Li, Yaoliang Yu et al.
A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
Kihyuk Hong, Ambuj Tewari
A Cross Modal Knowledge Distillation & Data Augmentation Recipe for Improving Transcriptomics Representations through Morphological Features
Ihab Bendidi, Yassir El Mesbahi, Alisandra Kaye Denton et al.
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 Dubber: Timing Audible Actions via Inflectional Flow
Wenlong Wan, Weiying Zheng, Tianyi Xiang 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.
Activation by Interval-wise Dropout: A Simple Way to Prevent Neural Networks from Plasticity Loss
Sangyeon Park, Isaac Han, Seungwon Oh et al.
Activation Space Interventions Can Be Transferred Between Large Language Models
Narmeen Fatimah Oozeer, Dhruv Nathawani, Nirmalendu Prakash et al.
Active Evaluation Acquisition for Efficient LLM Benchmarking
Yang Li, Jie Ma, Miguel Ballesteros et al.
Active feature acquisition via explainability-driven ranking
Osman Berke Guney, Ketan Suhaas Saichandran, Karim Elzokm et al.
Active Fine-Tuning of Multi-Task Policies
Marco Bagatella, Jonas Hübotter, Georg Martius et al.
Active Learning for Efficient Discovery of Optimal Combinatorial Perturbations
Jason Qin, Hans-Hermann Wessels, Carlos Fernandez-Granda et al.
Active Learning of Deep Neural Networks via Gradient-Free Cutting Planes
Erica Zhang, Fangzhao Zhang, Mert Pilanci