Kyungwoo Song
30 papers · 2019–2025 · 12 venues · across top CS/AI venues
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Machine Learning
(27)
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(10)
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representation learning
(5)
distribution shift
(3)
large language model
(3)
zero-shot classification
(3)
active learning
(2)
recurrent neural network
(2)
robust fine-tuning
(2)
sequential recommendation
(2)
vision-language model
(2)
adversarial learning
(2)
sequential data
(2)
transfer learning
(2)
attention mechanism
(2)
text classification
(2)
acquisition function
(2)
domain generalization
(1)
approximate inference
(1)
contrastive learning
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self-attention mechanism
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image generation
(1)
Papers
Brain-inspired L_p-Convolution benefits large kernels and aligns better with visual cortex
ICLR 2025
DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
ICLR 2025
Enhancing Visual Classification using Comparative Descriptors
WACV 2025
Flat Posterior Does Matter For Bayesian Model Averaging
UAI 2025
LBC: Language-Based-Classifier for Out-Of-Variable Generalization
NAACL 2025
Sufficient Invariant Learning for Distribution Shift
CVPR 2025
TIDES: Technical Information Discovery and Extraction System
EMNLP 2025
Uncertainty-Aware Contrastive Decoding
ACL 2025
CED: Comparing Embedding Differences for Detecting Out-of-Distribution and Hallucinated Text
EMNLP 2024
Mitigating the Linguistic Gap with Phonemic Representations for Robust Cross-lingual Transfer
EMNLP 2024
Online Continuous Generalized Category Discovery
ECCV 2024
Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
CVPR 2024
Towards Calibrated Robust Fine-Tuning of Vision-Language Models
NeurIPS 2024
BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning
CVPR 2023
Geodesic Multi-Modal Mixup for Robust Fine-Tuning
NeurIPS 2023
SAAL: Sharpness-Aware Active Learning
ICML 2023
Efficient Approximate Inference for Stationary Kernel on Frequency Domain
ICML 2022
From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model
ICML 2022
Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation
ICML 2022
Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation
NeurIPS 2022
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
AAAI 2021
Implicit Kernel Attention
AAAI 2021
LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning
NeurIPS 2021
Bivariate Beta-LSTM
AAAI 2020
Context Aware Sequence Modeling
IJCAI 2020
Hierarchically Clustered Representation Learning
AAAI 2020
Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation
EMNLP 2020
Sequential Recommendation with Relation-Aware Kernelized Self-Attention
AAAI 2020
Adversarial Dropout for Recurrent Neural Networks
AAAI 2019
Hierarchical Context Enabled Recurrent Neural Network for Recommendation
AAAI 2019