Yihan He
4 papers · 2020–2024 · 2 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (2) π Cross-Pollinator (5) π Renaissance Researcher (6)
πΊοΈ
Taxonomy Completionist
(17)
Conferences
NIPS (3)
ICML (1)
Top co-authors
Keywords
deep reinforcement learning
(1)
neural network compression
(1)
attention mechanism
(1)
in-context learning
(1)
global convergence
(1)
autonomous driving
(1)
nonparametric learning
(1)
nearest neighbor
(1)
gradient descent
(1)
weibull distribution
(1)
nearest neighbor classifier
(1)
optimization theory
(1)
gradient flow
(1)
mean-field limit
(1)
weight decay regularization
(1)
weight decay
(1)
transformer training
(1)
softmax attention
(1)
wasserstein gradient flow
(1)
gradient quantization
(1)
Papers
Global Convergence in Training Large-Scale Transformers
NIPS 2024
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context
NIPS 2024
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles
NIPS 2022
Donβt Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript
ICML 2020