Jaeho Lee
31 papers · 2018–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (11) π Cross-Pollinator (14)
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Interdisciplinary Bridge
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Grand Slam
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Dynamic Duo
(14)
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Prolific Year
(6)
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Keyword Collector
(98)
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Unstoppable
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Century Club
(29)
Conferences
NIPS (7)
ICLR (5)
EMNLP (4)
ICML (4)
ACL (3)
CVPR (2)
NAACL (2)
AAAI (1)
COLT (1)
ECCV (1)
ICCV (1)
Top co-authors
Keywords
large language model
(4)
low-rank adaptation
(3)
neural field
(2)
implicit neural representation
(2)
empirical risk minimization
(2)
generalization bound
(2)
representation learning
(1)
neural network pruning
(1)
model compression
(1)
stochastic gradient descent
(1)
zero-shot learning
(1)
few-shot learning
(1)
domain generalization
(1)
data transformation
(1)
catastrophic forgetting
(1)
model quantization
(1)
self-supervised learning
(1)
function approximation
(1)
knowledge distillation
(1)
continual learning
(1)
Papers
Speculative End-Turn Detector for Efficient Speech Chatbot Assistant
ACL 2026
Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning
ACL 2026
Prompt-based Depth Pruning of Large Language Models
ICML 2025
ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models
ICLR 2025
Fast Training of Sinusoidal Neural Fields via Scaling Initialization
ICLR 2025
Imagine to Hear: Auditory Knowledge Generation can be an Effective Assistant for Language Models
ACL 2025
Riemannian Optimization for LoRA on the Stiefel Manifold
EMNLP 2025
Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity
NAACL 2025
Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher
EMNLP 2024
In Search of a Data Transformation That Accelerates Neural Field Training
CVPR 2024
Discovering and Mitigating Visual Biases through Keyword Explanation
CVPR 2024
The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers
ECCV 2024
Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization
EMNLP 2024
Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization
EMNLP 2024
Hybrid Neural Representations for Spherical Data
ICML 2024
Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity
ICML 2024
SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities
NAACL 2024
Modality-Agnostic Variational Compression of Implicit Neural Representations
ICML 2023
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
NIPS 2023
Scalable Neural Video Representations with Learnable Positional Features
NIPS 2022
Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation
ICLR 2022
Meta-Learning with Self-Improving Momentum Target
NIPS 2022
MASKER: Masked Keyword Regularization for Reliable Text Classification
AAAI 2021
Layer-adaptive Sparsity for the Magnitude-based Pruning
ICLR 2021
Minimum Width for Universal Approximation
ICLR 2021
Provable Memorization via Deep Neural Networks using Sub-linear Parameters
COLT 2021
Meta-Learning Sparse Implicit Neural Representations
NIPS 2021
Co2L: Contrastive Continual Learning
ICCV 2021
Learning Bounds for Risk-sensitive Learning
NIPS 2020
Learning from Failure: De-biasing Classifier from Biased Classifier
NIPS 2020
Minimax Statistical Learning with Wasserstein distances
NIPS 2018