Adams Wei Yu
18 papers · 2014–2024 · 9 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (10) 🌍 Conference Polyglot (9) 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (11)
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Keyword Pioneer
🌍
Conference Polyglot
(9)
🏃
Academic Marathon
(10)
👑
Triple Crown
👥
Mega-Team
(27)
🗃️
Keyword Collector
(67)
⚡
Prolific Year
(5)
🚀
Conference Pioneer
💎
Century Club
(18)
🔥
Unstoppable
(5)
📈
Trend Setter
❓
The Questioner
Conferences
ICLR (5)
NIPS (4)
ICML (2)
JMLR (2)
ACL (1)
AISTATS (1)
COLT (1)
CVPR (1)
ECCV (1)
Top co-authors
Keywords
distributed optimization
(2)
convex optimization
(2)
structured matrix
(1)
compressed sensing
(1)
transfer learning
(1)
multi-modal learning
(1)
principal component analysis
(1)
feature extraction
(1)
text classification
(1)
policy gradient
(1)
primal-dual optimization
(1)
autonomous driving
(1)
matrix decomposition
(1)
perceptron algorithm
(1)
stochastic optimization
(1)
compositional generalization
(1)
experimental design
(1)
variance reduction
(1)
linear regression
(1)
combinatorial optimization
(1)
Papers
Large Language Models Cannot Self-Correct Reasoning Yet
ICLR 2024
HaloQuest: A Visual Hallucination Dataset for Advancing Multimodal Reasoning
ECCV 2024
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining
NIPS 2023
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
ICLR 2022
Does GNN Pretraining Help Molecular Representation?
NIPS 2022
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
ICML 2022
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection
CVPR 2022
Finetuned Language Models are Zero-Shot Learners
ICLR 2022
Compositional Generalization via Neural-Symbolic Stack Machines
NIPS 2020
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension
ICLR 2020
DSCOVR: Randomized Primal-Dual Block Coordinate Algorithms for Asynchronous Distributed Optimization
JMLR 2019
QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
ICLR 2018
On Computationally Tractable Selection of Experiments in Measurement-Constrained Regression Models
JMLR 2017
Learning to Skim Text
ACL 2017
An Improved Gap-Dependency Analysis of the Noisy Power Method
COLT 2016
AdaDelay: Delay Adaptive Distributed Stochastic Optimization
AISTATS 2016
Efficient Structured Matrix Rank Minimization
NIPS 2014
Saddle Points and Accelerated Perceptron Algorithms
ICML 2014