Jaeho Lee

InterRVOS: Interaction-Aware Referring Video Object Segmentation CVPR 2026 Memory-Efficient Structured Backpropagation for On-Device LLM Fine-Tuning ACL 2026 Speculative End-Turn Detector for Efficient Speech Chatbot Assistant ACL 2026 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 Prompt-based Depth Pruning of Large Language Models ICML 2025 Punching Above Precision: Small Quantized Model Distillation with Learnable Regularizer ACML 2025 Riemannian Optimization for LoRA on the Stiefel Manifold EMNLP 2025 Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity NAACL 2025 ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language Models ICLR 2025 Decoding with Limited Teacher Supervision Requires Understanding When to Trust the Teacher EMNLP 2024 Discovering and Mitigating Visual Biases through Keyword Explanation CVPR 2024 Hybrid Neural Representations for Spherical Data ICML 2024 In Search of a Data Transformation That Accelerates Neural Field Training CVPR 2024 Neural Image Compression with Text-guided Encoding for both Pixel-level and Perceptual Fidelity ICML 2024 Prefixing Attention Sinks can Mitigate Activation Outliers for Large Language Model Quantization EMNLP 2024 Rethinking Pruning Large Language Models: Benefits and Pitfalls of Reconstruction Error Minimization EMNLP 2024 SCANNER: Knowledge-Enhanced Approach for Robust Multi-modal Named Entity Recognition of Unseen Entities NAACL 2024 The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers ECCV 2024 Learning Large-scale Neural Fields via Context Pruned Meta-Learning NeurIPS 2023 Modality-Agnostic Variational Compression of Implicit Neural Representations ICML 2023 Meta-Learning with Self-Improving Momentum Target NeurIPS 2022 Scalable Neural Video Representations with Learnable Positional Features NeurIPS 2022 Spread Spurious Attribute: Improving Worst-group Accuracy with Spurious Attribute Estimation ICLR 2022 Co2L: Contrastive Continual Learning ICCV 2021 Layer-adaptive Sparsity for the Magnitude-based Pruning ICLR 2021 MASKER: Masked Keyword Regularization for Reliable Text Classification AAAI 2021 Meta-Learning Sparse Implicit Neural Representations NeurIPS 2021 Minimum Width for Universal Approximation ICLR 2021 Provable Memorization via Deep Neural Networks using Sub-linear Parameters COLT 2021 Learning Bounds for Risk-sensitive Learning NeurIPS 2020 Learning from Failure: De-biasing Classifier from Biased Classifier NeurIPS 2020 Minimax Statistical Learning with Wasserstein distances NeurIPS 2018