Papers
11,951 papers found
A Coefficient Makes SVRG Effective
Yida Yin, Zhiqiu Xu, Zhiyuan Li et al.
A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement
Hui Yuan, Yifan Zeng, Yue Wu et al.
A Computational Framework for Modeling Emergence of Color Vision in the Human Brain
Atsunobu Kotani, Ren Ng
A Conditional Independence Test in the Presence of Discretization
Boyang Sun, Yu Yao, Guang-Yuan Hao et al.
Action abstractions for amortized sampling
Oussama Boussif, Lena Nehale Ezzine, Joseph D Viviano 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
Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
Danni Yuan, Mingda Zhang, Shaokui Wei et al.
Active Learning for Continual Learning: Keeping the Past Alive in the Present
Jaehyun Park, Dongmin Park, Jae-Gil Lee
Active Learning for Neural PDE Solvers
Daniel Musekamp, Marimuthu Kalimuthu, David Holzmüller et al.
ACTIVE: Offline Reinforcement Learning via Adaptive Imitation and In-sample $V$-Ensemble
Tianyuan Chen, Ronglong Cai, Faguo Wu et al.
Active Task Disambiguation with LLMs
Kasia Kobalczyk, Nicolás Astorga, Tennison Liu et al.
Actor-Critic learning for mean-field control in continuous time
Noufel FRIKHA, Maximilien GERMAIN, Mathieu LAURIERE et al.
ActSafe: Active Exploration with Safety Constraints for Reinforcement Learning
Yarden As, Bhavya Sukhija, Lenart Treven et al.
AdaFisher: Adaptive Second Order Optimization via Fisher Information
Damien MARTINS GOMES, Yanlei Zhang, Eugene Belilovsky et al.
AdaGrad under Anisotropic Smoothness
Yuxing Liu, Rui Pan, Tong Zhang
AdaIR: Adaptive All-in-One Image Restoration via Frequency Mining and Modulation
Yuning Cui, Syed Waqas Zamir, Salman Khan et al.
Ada-K Routing: Boosting the Efficiency of MoE-based LLMs
Tongtian Yue, Longteng Guo, Jie Cheng et al.
ADAM: An Embodied Causal Agent in Open-World Environments
Shu Yu, Chaochao Lu
AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
Yuanfei Wang, Xiaojie Zhang, Ruihai Wu et al.
Adam Exploits $\ell_\infty$-geometry of Loss Landscape via Coordinate-wise Adaptivity
Shuo Xie, Mohamad Amin Mohamadi, Zhiyuan Li
Adam-mini: Use Fewer Learning Rates To Gain More
Yushun Zhang, Congliang Chen, Ziniu Li et al.
ADAM Optimization with Adaptive Batch Selection
Gyu Yeol Kim, Min-hwan Oh
Adapt-$\infty$: Scalable Continual Multimodal Instruction Tuning via Dynamic Data Selection
Adyasha Maharana, Jaehong Yoon, Tianlong Chen et al.