Papers
1,288 papers found
Learning Energy-based Model via Dual-MCMC Teaching
Jiali Cui, Tian Han
Scale-teaching: Robust Multi-scale Training for Time Series Classification with Noisy Labels
Zhen Liu, ma peitian, Dongliang Chen et al.
Switching Temporary Teachers for Semi-Supervised Semantic Segmentation
Jaemin Na, Jung-Woo Ha, Hyung Jin Chang et al.
L2T-DLN: Learning to Teach with Dynamic Loss Network
Zhaoyang Hai, Liyuan Pan, Xiabi Liu et al.
Importance-aware Co-teaching for Offline Model-based Optimization
Ye Yuan, Can (Sam) Chen, Zixuan Liu et al.
Switching Autoregressive Low-rank Tensor Models
Hyun Dong Lee, Andrew Warrington, Joshua Glaser et al.
Equivariant flow matching
Leon Klein, Andreas Krämer, Frank Noe
Binarized Neural Machine Translation
Yichi Zhang, Ankush Garg, Yuan Cao et al.
GMSF: Global Matching Scene Flow
Yushan Zhang, Johan Edstedt, Bastian Wandt et al.
Machine learning detects terminal singularities
Tom Coates, Alexander Kasprzyk, Sara Veneziale
GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction
Rui Yang, Lin Song, Yanwei Li et al.
Evaluating Neuron Interpretation Methods of NLP Models
Yimin Fan, Fahim Dalvi, Nadir Durrani et al.
Learning from Teaching Regularization: Generalizable Correlations Should be Easy to Imitate
Can Jin, Tong Che, Hongwu Peng et al.
Supervised Kernel Thinning
Albert Gong, Kyuseong Choi, Raaz Dwivedi
Task Me Anything
Jieyu Zhang, Weikai Huang, Zixian Ma et al.
Depth Anything V2
Lihe Yang, Bingyi Kang, Zilong Huang et al.
Replicable Uniformity Testing
Sihan Liu, Christopher Ye
Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare
Hanwei Zhu, Haoning Wu, Yixuan Li et al.
Recursive Introspection: Teaching Language Model Agents How to Self-Improve
Yuxiao Qu, Tianjun Zhang, Naman Garg et al.
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study
Xuefei Ning, Zifu Wang, Shiyao Li et al.
Monoculture in Matching Markets
Kenny Peng, Nikhil Garg
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models
Jiayu Liu, Zhenya Huang, Tong Xiao et al.
On the Complexity of Teaching a Family of Linear Behavior Cloning Learners
Shubham Bharti, Stephen Wright, Adish Singla et al.
Asynchronous Perception Machine for Efficient Test Time Training
Rajat Modi, Yogesh Singh Rawat
Task-Agnostic Machine-Learning-Assisted Inference
Jiacheng Miao, Qiongshi Lu