Jihoon Tack
19 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
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Keywords
large language model
(3)
implicit neural representation
(2)
adversarial training
(2)
self-supervised learning
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representation learning
(2)
contrastive learning
(2)
adversarial robustness
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parameter efficient
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efficient inference
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novelty detection
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preference modeling
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data augmentation
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feature generation
(1)
distribution shift
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knowledge distillation
(1)
few-shot learning
(1)
Papers
Think Clearly: Improving Reasoning via Redundant Token Pruning
EMNLP 2025
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
ICML 2025
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
ICLR 2025
Mamba Drafters for Speculative Decoding
EMNLP 2025
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
ICML 2024
ReMoDetect: Reward Models Recognize Aligned LLM's Generations
NIPS 2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
NIPS 2024
Online Adaptation of Language Models with a Memory of Amortized Contexts
NIPS 2024
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
NIPS 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
NIPS 2023
Modality-Agnostic Variational Compression of Implicit Neural Representations
ICML 2023
STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables
ICLR 2023
Consistency Regularization for Adversarial Robustness
AAAI 2022
Meta-Learning with Self-Improving Momentum Target
NIPS 2022
K-Centered Patch Sampling for Efficient Video Recognition
ECCV 2022
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
ICLR 2022
Meta-Learning Sparse Implicit Neural Representations
NIPS 2021
Adversarial Self-Supervised Contrastive Learning
NIPS 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
NIPS 2020