Jihoon Tack
19 papers · 2020–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (44) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π€
Dynamic Duo
(17)
π
Grand Slam
π
Triple Crown
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(84)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(15)
Artificial Intelligence
(13)
Core AI
(8)
Learning Types Β· Machine Learning
(8)
Application Areas
(6)
Core Methods
(6)
Learning Paradigms
(6)
Deep Learning
(5)
Optimization & Theory
(5)
Models
(3)
Natural Language Processing
(2)
Learning Types Β· Deep Learning
(2)
Computer Vision
(1)
Applications
(1)
Architectures
(1)
Keywords
large language model
(4)
implicit neural representation
(3)
few-shot learning
(2)
contrastive learning
(2)
adversarial training
(2)
representation learning
(2)
self-supervised learning
(2)
adversarial robustness
(2)
tabular data
(2)
curriculum learning
(1)
data augmentation
(1)
decision making
(1)
efficient inference
(1)
neural compression
(1)
distribution shift
(1)
knowledge distillation
(1)
novelty detection
(1)
parameter efficient
(1)
contextual representation
(1)
ai safety
(1)
Papers
Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
ICLR 2025
Mamba Drafters for Speculative Decoding
EMNLP 2025
ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification
ICML 2025
Think Clearly: Improving Reasoning via Redundant Token Pruning
EMNLP 2025
Online Adaptation of Language Models with a Memory of Amortized Contexts
NeurIPS 2024
Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
NeurIPS 2024
ReMoDetect: Reward Models Recognize Aligned LLM's Generations
NeurIPS 2024
Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts
ICML 2024
Learning Large-scale Neural Fields via Context Pruned Meta-Learning
NeurIPS 2023
Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder
NeurIPS 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
Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks
ICLR 2022
K-Centered Patch Sampling for Efficient Video Recognition
ECCV 2022
Meta-Learning with Self-Improving Momentum Target
NeurIPS 2022
Meta-Learning Sparse Implicit Neural Representations
NeurIPS 2021
Adversarial Self-Supervised Contrastive Learning
NeurIPS 2020
CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances
NeurIPS 2020