Kyungwoo Song

30 papers · 2019–2025 · 12 conferences · across top CS/AI conferences

Achievements

+11 more ↓

🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (12) 🧭 Keyword Pioneer 🏃 Academic Marathon (6) 🌈 Renaissance Researcher (6)

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (12) 🏃 Academic Marathon (6) 🤝 Dynamic Duo (13) 🏆 Grand Slam 🔥 Unstoppable (7) 💎 Century Club (30) 📈 Trend Setter 🚀 Conference Pioneer 🗃️ Keyword Collector (131) ⚡ Prolific Year (8)

Conferences

AAAI (7) EMNLP (4) ICML (4) NIPS (4) CVPR (3) ICLR (2) ACL (1) ECCV (1) IJCAI (1) NAACL (1) UAI (1) WACV (1)

Top co-authors

Il-chul Moon (13) JoonHo Jang (7) Changdae Oh (5) Hoyoon Byun (4) Sungjun Lim (4) Hakyung Lee (4) Seungjae Shin (4) Mingi Ji (4) Subeen Park (3) Weonyoung Joo (3)

Keywords

representation learning (4) large language model (3) zero-shot classification (3) active learning (2) robust fine-tuning (2) text classification (2) sequential recommendation (2) sequential datum (2) recurrent neural network (2) adversarial learning (2) transfer learning (2) attention mechanism (2) acquisition function (2) distribution shift (2) domain generalization (1) approximate inference (1) contrastive learning (1) self-attention mechanism (1) image generation (1) image classification (1)

Papers

Sufficient Invariant Learning for Distribution Shift CVPR 2025 Uncertainty-Aware Contrastive Decoding ACL 2025 Flat Posterior Does Matter For Bayesian Model Averaging UAI 2025 Enhancing Visual Classification using Comparative Descriptors WACV 2025 LBC: Language-Based-Classifier for Out-Of-Variable Generalization NAACL 2025 DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation ICLR 2025 Brain-inspired $L_p$-Convolution benefits large kernels and aligns better with visual cortex ICLR 2025 TIDES: Technical Information Discovery and Extraction System EMNLP 2025 Online Continuous Generalized Category Discovery ECCV 2024 Towards Calibrated Robust Fine-Tuning of Vision-Language Models NIPS 2024 Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners CVPR 2024 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 SAAL: Sharpness-Aware Active Learning ICML 2023 BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning CVPR 2023 Geodesic Multi-Modal Mixup for Robust Fine-Tuning NIPS 2023 Efficient Approximate Inference for Stationary Kernel on Frequency Domain ICML 2022 Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation ICML 2022 From Noisy Prediction to True Label: Noisy Prediction Calibration via Generative Model ICML 2022 Unknown-Aware Domain Adversarial Learning for Open-Set Domain Adaptation NIPS 2022 Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder AAAI 2021 LADA: Look-Ahead Data Acquisition via Augmentation for Deep Active Learning NIPS 2021 Implicit Kernel Attention AAAI 2021 Sequential Recommendation with Relation-Aware Kernelized Self-Attention AAAI 2020 Hierarchically Clustered Representation Learning AAAI 2020 Neutralizing Gender Bias in Word Embeddings with Latent Disentanglement and Counterfactual Generation EMNLP 2020 Context Aware Sequence Modeling IJCAI 2020 Bivariate Beta-LSTM AAAI 2020 Hierarchical Context Enabled Recurrent Neural Network for Recommendation AAAI 2019 Adversarial Dropout for Recurrent Neural Networks AAAI 2019