Papers
8,340 papers found
A Simple Zero-shot Prompt Weighting Technique to Improve Prompt Ensembling in Text-Image Models
James Urquhart Allingham, Jie Ren, Michael W Dusenberry et al.
A Statistical Perspective on Retrieval-Based Models
Soumya Basu, Ankit Singh Rawat, Manzil Zaheer
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
Mikael Henaff, Minqi Jiang, Roberta Raileanu
A Study on Transformer Configuration and Training Objective
Fuzhao Xue, Jianghai Chen, Aixin Sun et al.
Atari-5: Distilling the Arcade Learning Environment down to Five Games
Matthew Aitchison, Penny Sweetser, Marcus Hutter
A Theoretical Analysis of the Learning Dynamics under Class Imbalance
Emanuele Francazi, Marco Baity-Jesi, Aurelien Lucchi
A theory of continuous generative flow networks
Salem Lahlou, Tristan Deleu, Pablo Lemos et al.
A theory of representation learning gives a deep generalisation of kernel methods
Adam X. Yang, Maxime Robeyns, Edward Milsom et al.
A Three-regime Model of Network Pruning
Yefan Zhou, Yaoqing Yang, Arin Chang et al.
A Toy Model of Universality: Reverse Engineering how Networks Learn Group Operations
Bilal Chughtai, Lawrence Chan, Neel Nanda
Attention-Based Recurrence for Multi-Agent Reinforcement Learning under Stochastic Partial Observability
Thomy Phan, Fabian Ritz, Philipp Altmann et al.
Attributing Image Generative Models using Latent Fingerprints
Guangyu Nie, Changhoon Kim, Yezhou Yang et al.
A Two-Stage Active Learning Algorithm for k-Nearest Neighbors
Nicholas Rittler, Kamalika Chaudhuri
AudioLDM: Text-to-Audio Generation with Latent Diffusion Models
Haohe Liu, Zehua Chen, Yi Yuan et al.
A Unified Audio-Visual Learning Framework for Localization, Separation, and Recognition
Shentong Mo, Pedro Morgado
A Unified Optimization Framework of ANN-SNN Conversion: Towards Optimal Mapping from Activation Values to Firing Rates
Haiyan Jiang, Srinivas Anumasa, Giulia De Masi et al.
A Unifying Framework to the Analysis of Interaction Methods using Synergy Functions
Daniel Lundstrom, Meisam Razaviyayn
A Universal Unbiased Method for Classification from Aggregate Observations
Zixi Wei, Lei Feng, Bo Han et al.
AutoCoreset: An Automatic Practical Coreset Construction Framework
Alaa Maalouf, Murad Tukan, Vladimir Braverman et al.
Auto-Differentiation of Relational Computations for Very Large Scale Machine Learning
Yuxin Tang, Zhimin Ding, Dimitrije Jankov et al.
Automated Search for Conjectures on Mathematical Constants using Analysis of Integer Sequences
Ofir Razon, Yoav Harris, Shahar Gottlieb et al.
Automatically Auditing Large Language Models via Discrete Optimization
Erik Jones, Anca Dragan, Aditi Raghunathan et al.
Automatically marginalized MCMC in probabilistic programming
Jinlin Lai, Javier Burroni, Hui Guan et al.
Automatic Data Augmentation via Invariance-Constrained Learning
Ignacio Hounie, Luiz F. O. Chamon, Alejandro Ribeiro