Papers
Aggregation Buffer: Revisiting DropEdge with a New Parameter Block
Dooho Lee, Myeong Kong, Sagad Hamid et al.
Aggregation of Dependent Expert Distributions in Multimodal Variational Autoencoders
Rogelio A. Mancisidor, Robert Jenssen, Shujian Yu et al.
Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction
Yiheng Xu, Zekun Wang, Junli Wang et al.
A Hitchhiker’s Guide to Scaling Law Estimation
Leshem Choshen, Yang Zhang, Jacob Andreas
AI for Global Climate Cooperation: Modeling Global Climate Negotiations, Agreements, and Long-Term Cooperation in RICE-N
Tianyu Zhang, Andrew Robert Williams, Phillip Wozny et al.
AKORN: Adaptive Knots generated Online for RegressioN splines
Sunil Madhow, Dheeraj Baby, Yu-Xiang Wang
AKRMap: Adaptive Kernel Regression for Trustworthy Visualization of Cross-Modal Embeddings
Yilin Ye, Junchao Huang, Xingchen Zeng et al.
A Large Recurrent Action Model: xLSTM enables Fast Inference for Robotics Tasks
Thomas Schmied, Thomas Adler, Vihang Prakash Patil et al.
Alberta Wells Dataset: Pinpointing Oil and Gas Wells from Satellite Imagery
Pratinav Seth, Michelle Lin, Brefo Dwamena Yaw et al.
A Lens into Interpretable Transformer Mistakes via Semantic Dependency
Ruo-Jing Dong, Yu Yao, Bo Han et al.
Algorithm Development in Neural Networks: Insights from the Streaming Parity Task
Loek Van Rossem, Andrew M Saxe
Algorithmic Recourse for Long-Term Improvement
Kentaro Kanamori, Ken Kobayashi, Satoshi Hara et al.
Algorithms and Hardness for Active Learning on Graphs
Vincent Cohen-Addad, Silvio Lattanzi, Simon Meierhans
Algorithms with Calibrated Machine Learning Predictions
Judy Hanwen Shen, Ellen Vitercik, Anders Wikum
Aligned Multi Objective Optimization
Yonathan Efroni, Ben Kretzu, Daniel R. Jiang et al.
Aligning LLMs by Predicting Preferences from User Writing Samples
Stéphane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald et al.
Aligning Multimodal Representations through an Information Bottleneck
Antonio Almudévar, José Miguel Hernández-Lobato, Sameer Khurana et al.
Aligning Protein Conformation Ensemble Generation with Physical Feedback
Jiarui Lu, Xiaoyin Chen, Stephen Zhewen Lu et al.
Aligning Spoken Dialogue Models from User Interactions
Anne Wu, Laurent Mazaré, Neil Zeghidour et al.
Aligning with Logic: Measuring, Evaluating and Improving Logical Preference Consistency in Large Language Models
Yinhong Liu, Zhijiang Guo, Tianya Liang et al.
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
Shivam Kumar, Yun Yang, Lizhen Lin
All-atom Diffusion Transformers: Unified generative modelling of molecules and materials
Chaitanya K. Joshi, Xiang Fu, Yi-Lun Liao et al.
All-atom inverse protein folding through discrete flow matching
Kai Yi, Kiarash Jamali, Sjors Hw Scheres
All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance
Jasper C.H. Lee, Walter Mckelvie, Maoyuan Song et al.
Almost Optimal Fully Dynamic $k$-Center Clustering with Recourse
Sayan Bhattacharya, Martin Costa, Ermiya Farokhnejad et al.