Papers
A Polarization-Aided Transformer for Image Deblurring via Motion Vector Decomposition
Duosheng Chen, Shihao Zhou, Jinshan Pan et al.
A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence
Mingyang Liu, Gabriele Farina, Asuman E. Ozdaglar
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Orr Zohar, Xiaohan Wang, Yann Dubois et al.
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting
Tianyi Yin, Jingwei Wang, Yunlong Ma et al.
Apollo-MILP: An Alternating Prediction-Correction Neural Solving Framework for Mixed-Integer Linear Programming
Haoyang Liu, Jie Wang, Zijie Geng et al.
A Position Paper on the Automatic Generation of Machine Learning Leaderboards
Roelien C. Timmer, Yufang Hou, Stephen Wan
App2Exa: Accelerating Exact kNN Search via Dynamic Cache-Guided Approximation
Ke Li, Leong Hou U, Shuo Shang
APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
Honghua Dong, Qidong Su, Yubo Gao et al.
Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation
Yiming Qin, Zhu Xu, Yang Liu
Applying the Character-Role Narrative Framework with LLMs to Investigate Environmental Narratives in Scientific Editorials and Tweets
Francesca Grasso, Stefano Locci, Manfred Stede
Applying Transformer Architectures to Detect Cynical Comments in Spanish Social Media
Samuel Gonzalez-Lopez, Steven Bethard, Rogelio Platt-Molina et al.
Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
Eric Lei, Hamed Hassani, Shirin Saeedi Bidokhti
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning
Zengxia Guo, Bohui An, Zhongqi Lu
Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment
Yuang Cai, Yuyu Yuan, Jinsheng Shi et al.
Approximate Lifted Model Construction
Malte Luttermann, Jan Speller, Marcel Gehrke et al.
Approximately EFX and fPO Allocations for Bivalued Chores
Zehan Lin, Xiaowei Wu, Shengwei Zhou
Approximate State Abstraction for Markov Games
Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki
Approximate Verification of Strategic Abilities under Imperfect Information Using Local Models
Damian Kurpiewski, Wojciech Jamroga, Yan Kim
Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence
Dharmesh Tailor, Alvaro Correia, Eric Nalisnick et al.
Approximating Metric Magnitude of Point Sets
Rayna Andreeva, James Ward, Primoz Skraba et al.
Approximating Optimal Labelings for Temporal Connectivity
Daniele Carnevale, Gianlorenzo D'Angelo, Martin Olsen
Approximation algorithms for combinatorial optimization with predictions
Antonios Antoniadis, Marek Elias, Adam Polak et al.
Approximation Fixpoint Theory as a Unifying Framework for Fuzzy Logic Programming Semantics
Pascal Kettmann, Jesse Heyninck, Hannes Strass
AppTek’s Automatic Speech Translation: Generating Accurate and Well-Readable Subtitles
Frithjof Petrick, Patrick Wilken, Evgeny Matusov et al.