Papers
11,951 papers found
A Hierarchical Bayesian Model for Few-Shot Meta Learning
Minyoung Kim, Timothy Hospedales
A high-quality robust diffusion framework for corrupted dataset
Quan Dao, Binh Ta, Tung Pham et al.
AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction
Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang et al.
ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models
Sunghyeon Woo, Sunwoo Lee, Dongsuk Jeon
A large-scale deployment of DCTCP
Abhishek Dhamija, Balasubramanian Madhavan, Hechao Li et al.
Algorithms for Caching and MTS with reduced number of predictions
Karim Ahmed Abdel Sadek, Marek Elias
ALI-Agent: Assessing LLMs' Alignment with Human Values via Agent-based Evaluation
Jingnan Zheng, Han Wang, An Zhang et al.
Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic
Xiaoxiao Sun, Yue Yao, Shengjin Wang et al.
A Lie Group Approach to Riemannian Batch Normalization
Ziheng Chen, Yue Song, Yunmei Liu et al.
A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
Shiqiang Wang, Mingyue Ji
AlignDiff: Aligning Diverse Human Preferences via Behavior-Customisable Diffusion Model
Zibin Dong, Yifu Yuan, Jianye HAO et al.
Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models
Rining Wu, Feixiang Zhou, Ziwei Yin et al.
Aligning Relational Learning with Lipschitz Fairness
Yaning Jia, Chunhui Zhang, Soroush Vosoughi
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
Eliya Segev, Maya Alroy, Ronen Katsir et al.
A Linear Algebraic Framework for Counterfactual Generation
Jong-Hoon Ahn, Akshay Vashist
Alleviating Exposure Bias in Diffusion Models through Sampling with Shifted Time Steps
Mingxiao Li, Tingyu Qu, Ruicong Yao et al.
AlpaGasus: Training a Better Alpaca with Fewer Data
Lichang Chen, Shiyang Li, Jun Yan et al.
Alt-Text with Context: Improving Accessibility for Images on Twitter
Nikita Srivatsan, Sofia Samaniego, Omar Florez et al.
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
Jake Grigsby, Linxi Fan, Yuke Zhu
Amortized Network Intervention to Steer the Excitatory Point Processes
Zitao Song, Wendi Ren, Shuang Li
AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification
Hang Yu, Cong Liao, Ruolan Liu et al.
Amortizing intractable inference in large language models
Edward J Hu, Moksh Jain, Eric Elmoznino et al.
A Multi-Level Framework for Accelerating Training Transformer Models
Longwei Zou, Han Zhang, Yangdong Deng
A Multimodal Benchmark Dataset and Model for Crop Disease Diagnosis
Xiang Liu, Zhaoxiang Liu, Huan Hu et al.
A Mutual Information Perspective on Federated Contrastive Learning
Christos Louizos, Matthias Reisser, Denis Korzhenkov