Papers
11,015 papers found
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
Yoav Levine, Noam Wies, Daniel Jannai et al.
The Information Geometry of Unsupervised Reinforcement Learning
Benjamin Eysenbach, Ruslan Salakhutdinov, Sergey Levine
The MultiBERTs: BERT Reproductions for Robustness Analysis
Thibault Sellam, Steve Yadlowsky, Ian Tenney et al.
The Neural Data Router: Adaptive Control Flow in Transformers Improves Systematic Generalization
Róbert Csordás, Kazuki Irie, Jürgen Schmidhuber
The Rich Get Richer: Disparate Impact of Semi-Supervised Learning
Zhaowei Zhu, Tianyi Luo, Yang Liu
The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks
Rahim Entezari, Hanie Sedghi, Olga Saukh et al.
The Role of Pretrained Representations for the OOD Generalization of RL Agents
Frederik Träuble, Andrea Dittadi, Manuel Wuthrich et al.
The Spectral Bias of Polynomial Neural Networks
Moulik Choraria, Leello Tadesse Dadi, Grigorios Chrysos et al.
The Three Stages of Learning Dynamics in High-dimensional Kernel Methods
Nikhil Ghosh, Song Mei, Bin Yu
The Uncanny Similarity of Recurrence and Depth
Avi Schwarzschild, Arjun Gupta, Amin Ghiasi et al.
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training
Shiwei Liu, Tianlong Chen, Xiaohan Chen et al.
THOMAS: Trajectory Heatmap Output with learned Multi-Agent Sampling
Thomas Gilles, Stefano Sabatini, Dzmitry Tsishkou et al.
Tighter Sparse Approximation Bounds for ReLU Neural Networks
Carles Domingo-Enrich, Youssef Mroueh
ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Yuanfei Wang, fangwei zhong, Jing Xu et al.
Top-label calibration and multiclass-to-binary reductions
Chirag Gupta, Aaditya Ramdas
Top-N: Equivariant Set and Graph Generation without Exchangeability
Clement Vignac, Pascal Frossard
Topological Experience Replay
Zhang-Wei Hong, Tao Chen, Yen-Chen Lin et al.
Topological Graph Neural Networks
Max Horn, Edward De Brouwer, Michael Moor et al.
Topologically Regularized Data Embeddings
Robin Vandaele, Bo Kang, Jefrey Lijffijt et al.
Toward Efficient Low-Precision Training: Data Format Optimization and Hysteresis Quantization
Sunwoo Lee, Jeongwoo Park, Dongsuk Jeon
Toward Faithful Case-based Reasoning through Learning Prototypes in a Nearest Neighbor-friendly Space.
Seyed Omid Davoudi, Majid Komeili
Towards a Unified View of Parameter-Efficient Transfer Learning
Junxian He, Chunting Zhou, Xuezhe Ma et al.
Towards Better Understanding and Better Generalization of Low-shot Classification in Histology Images with Contrastive Learning
Jiawei Yang, Hanbo Chen, Jiangpeng Yan et al.
Towards Building A Group-based Unsupervised Representation Disentanglement Framework
Tao Yang, Xuanchi Ren, Yuwang Wang et al.
Towards Continual Knowledge Learning of Language Models
Joel Jang, Seonghyeon Ye, Sohee Yang et al.