Andrew Li
16 papers · 2017–2025 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (8)
🌍
Conference Polyglot
(11)
🏃
Academic Marathon
(8)
🧭
Keyword Pioneer
🗃️
Keyword Collector
(85)
💎
Century Club
(16)
🔥
Unstoppable
(5)
⚡
Prolific Year
(5)
Conferences
NIPS (5)
AISTATS (2)
AAAI (1)
AUTOML (1)
CVPR (1)
EMNLP (1)
ICCV (1)
ICLR (1)
MIDL (1)
NAACL (1)
PGM (1)
Top co-authors
Keywords
causal inference
(4)
regret bound
(2)
model scaling
(2)
neural architecture search
(2)
off-policy evaluation
(1)
online learning
(1)
contrastive learning
(1)
structure learning
(1)
vision transformer
(1)
sequential decision making
(1)
knowledge distillation
(1)
multimodal learning
(1)
sample complexity
(1)
natural language processing
(1)
medical report generation
(1)
instruction following
(1)
efficient inference
(1)
deep learning
(1)
efficient computing
(1)
probabilistic modeling
(1)
Papers
cantnlp@DravidianLangTech-2025: A Bag-of-Sounds Approach to Multimodal Hate Speech Detection
NAACL 2025
EmbedLLM: Learning Compact Representations of Large Language Models
ICLR 2025
ChatHF: Collecting Rich Human Feedback from Real-time Conversations
EMNLP 2024
FLIQS: One-Shot Mixed-Precision Floating-Point and Integer Quantization Search
AUTOML 2024
TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching
ICCV 2023
Multimodal Image-Text Matching Improves Retrieval-based Chest X-Ray Report Generation
MIDL 2023
Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand Model
NIPS 2022
Markovian Interference in Experiments
NIPS 2022
Learning to Follow Instructions in Text-Based Games
NIPS 2022
Greedy Approximation Algorithms for Active Sequential Hypothesis Testing
NIPS 2021
Learning Treatment Effects in Panels with General Intervention Patterns
NIPS 2021
Disposable Linear Bandits for Online Recommendations
AAAI 2021
Causal Inference with Selectively Deconfounded Data
AISTATS 2021
Searching for Fast Model Families on Datacenter Accelerators
CVPR 2021
Bayesian Network Structure Learning with Side Constraints
PGM 2018
Optimal Recovery of Tensor Slices
AISTATS 2017