Papers
1,288 papers found
Asymmetric Temperature Scaling Makes Larger Networks Teach Well Again
Xin-Chun Li, Wen-shu Fan, Shaoming Song et al.
Are GANs overkill for NLP?
David Alvarez-Melis, Vikas Garg, Adam Kalai
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks
Tuan Dinh, Yuchen Zeng, Ruisu Zhang et al.
Teacher Forcing Recovers Reward Functions for Text Generation
Yongchang Hao, Yuxin Liu, Lili Mou
Envy-free Policy Teaching to Multiple Agents
Jiarui Gan, R Majumdar, Adish Singla et al.
PALBERT: Teaching ALBERT to Ponder
Nikita Balagansky, Daniil Gavrilov
Off-Team Learning
Brandon Cui, Hengyuan Hu, Andrei Lupu et al.
On Batch Teaching with Sample Complexity Bounded by VCD
Farnam Mansouri, Hans Simon, Adish Singla et al.
Modeling the Machine Learning Multiverse
Samuel J. Bell, Onno Kampman, Jesse Dodge et al.
An Analytical Theory of Curriculum Learning in Teacher-Student Networks
Luca Saglietti, Stefano Mannelli, Andrew Saxe
Neural Payoff Machines: Predicting Fair and Stable Payoff Allocations Among Team Members
Daphne Cornelisse, Thomas Rood, Yoram Bachrach et al.
Subgame Solving in Adversarial Team Games
Brian Zhang, Luca Carminati, Federico Cacciamani et al.
What are the best Systems? New Perspectives on NLP Benchmarking
Pierre Colombo, Nathan Noiry, Ekhine Irurozki et al.
On Scalable Testing of Samplers
Yash Pote, Kuldeep S Meel
Nonlinear MCMC for Bayesian Machine Learning
James Vuckovic
Assistive Teaching of Motor Control Tasks to Humans
Megha Srivastava, Erdem Biyik, Suvir Mirchandani et al.
Learning to Scaffold: Optimizing Model Explanations for Teaching
Patrick Fernandes, Marcos Treviso, Danish Pruthi et al.
Fuzzy Learning Machine
Junbiao Cui, Jiye Liang
Taylor TD-learning
Michele Garibbo, Maxime Robeyns, Laurence Aitchison
Towards Unbounded Machine Unlearning
Meghdad Kurmanji, Peter Triantafillou, Jamie Hayes et al.
Temporal Graph Benchmark for Machine Learning on Temporal Graphs
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch et al.
Nonparametric Teaching for Multiple Learners
Chen Zhang, Xiaofeng Cao, Weiyang Liu et al.
NAS-X: Neural Adaptive Smoothing via Twisting
Dieterich Lawson, Michael Li, Scott Linderman
Fast Model DeBias with Machine Unlearning
Ruizhe Chen, Jianfei Yang, Huimin Xiong et al.
Thinker: Learning to Plan and Act
Stephen Chung, Ivan Anokhin, David Krueger