Kibok Lee
20 papers · 2016–2025 · 9 conferences · across top CS/AI conferences
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The Questioner
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Century Club
(20)
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(50)
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Prolific Year
(5)
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Unstoppable
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Conferences
ICLR (5)
ICML (5)
NIPS (3)
ICCV (2)
AAAI (1)
AISTATS (1)
CVPR (1)
ECCV (1)
IJCAI (1)
Top co-authors
Keywords
representation learning
(3)
data augmentation
(2)
neural network
(2)
self-supervised learning
(2)
zero-shot learning
(1)
semi-supervised learning
(1)
image classification
(1)
compressive sensing
(1)
catastrophic forgetting
(1)
object recognition
(1)
hierarchical classification
(1)
object detection
(1)
feature extraction
(1)
knowledge distillation
(1)
model evaluation
(1)
transfer learning
(1)
confidence calibration
(1)
class-incremental learning
(1)
neural network theory
(1)
sparse recovery
(1)
Papers
Automated Model Evaluation for Object Detection via Prediction Consistency and Reliability
ICCV 2025
Channel Normalization for Time Series Channel Identification
ICML 2025
On the Similarities of Embeddings in Contrastive Learning
ICML 2025
To Predict or Not to Predict? Proportionally Masked Autoencoders for Tabular Data Imputation
AAAI 2025
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
AISTATS 2025
Learning to Embed Time Series Patches Independently
ICLR 2024
On the Effectiveness of Supervision in Asymmetric Non-Contrastive Learning
ICML 2024
ANT: Adaptive Noise Schedule for Time Series Diffusion Models
NIPS 2024
Soft Contrastive Learning for Time Series
ICLR 2024
Rethinking Few-Shot Object Detection on a Multi-Domain Benchmark
ECCV 2022
$i$-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning
ICLR 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision
NIPS 2021
Network Randomization: A Simple Technique for Generalization in Deep Reinforcement Learning
ICLR 2020
Overcoming Catastrophic Forgetting With Unlabeled Data in the Wild
ICCV 2019
Robust Inference via Generative Classifiers for Handling Noisy Labels
ICML 2019
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
NIPS 2018
Hierarchical Novelty Detection for Visual Object Recognition
CVPR 2018
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
ICLR 2018
Towards Understanding the Invertibility of Convolutional Neural Networks
IJCAI 2017
Augmenting Supervised Neural Networks with Unsupervised Objectives for Large-scale Image Classification
ICML 2016