Adversarial Self-Supervised Contrastive Learning. - Minseon Kim; Jihoon Tack; Sung Ju Hwang (NeurIPS, 2020)

CSI: Novelty Detection via Contrastive Learning on Distributionally Shifted Instances. - Jihoon Tack; Sangwoo Mo; Jongheon Jeong; Jinwoo Shin (NeurIPS, 2020)

Meta-Learning Sparse Implicit Neural Representations. - Jaeho Lee 001; Jihoon Tack; Namhoon Lee; Jinwoo Shin (NeurIPS, 2021)

Consistency Regularization for Adversarial Robustness. - Jihoon Tack; Sihyun Yu; Jongheon Jeong; Minseon Kim; Sung Ju Hwang; Jinwoo Shin (AAAI, 2022)

K-centered Patch Sampling for Efficient Video Recognition. - Seong Hyeon Park; Jihoon Tack; Byeongho Heo; Jung-Woo Ha 001; Jinwoo Shin (ECCV (35), 2022)

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks. - Sihyun Yu; Jihoon Tack; Sangwoo Mo; Hyunsu Kim; Junho Kim; Jung-Woo Ha 001; Jinwoo Shin (ICLR, 2022)

Meta-Learning with Self-Improving Momentum Target. - Jihoon Tack; Jongjin Park; Hankook Lee; Jaeho Lee 001; Jinwoo Shin (NeurIPS, 2022)

STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables. - Jaehyun Nam; Jihoon Tack; Kyungmin Lee; Hankook Lee; Jinwoo Shin (ICLR, 2023)

Modality-Agnostic Variational Compression of Implicit Neural Representations. - Jonathan Richard Schwarz; Jihoon Tack; Yee Whye Teh; Jaeho Lee 001; Jinwoo Shin (ICML, 2023)

Modality-Agnostic Self-Supervised Learning with Meta-Learned Masked Auto-Encoder. - Huiwon Jang; Jihoon Tack; Daewon Choi; Jongheon Jeong; Jinwoo Shin (NeurIPS, 2023)

Learning Large-scale Neural Fields via Context Pruned Meta-Learning. - Jihoon Tack; Subin Kim 001; Sihyun Yu; Jaeho Lee 001; Jinwoo Shin; Jonathan Richard Schwarz (NeurIPS, 2023)

Rethinking the Entropy of Instance in Adversarial Training. - Minseon Kim; Jihoon Tack; Jinwoo Shin; Sung Ju Hwang (SaTML, 2023)

Efficient Meta-Learning via Error-based Context Pruning for Implicit Neural Representations. - Jihoon Tack; Subin Kim 001; Sihyun Yu; Jaeho Lee 001; Jinwoo Shin; Jonathan Richard Schwarz (CoRR, 2023)

Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts. - Shengzhuang Chen; Jihoon Tack; Yunqiao Yang; Yee Whye Teh; Jonathan Richard Schwarz; Ying Wei 001 (ICML, 2024)

ReMoDetect: Reward Models Recognize Aligned LLM's Generations. - Hyunseok Lee; Jihoon Tack; Jinwoo Shin (NeurIPS, 2024)

Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning. - Jaehyun Nam; Kyuyoung Kim; Seunghyuk Oh; Jihoon Tack; Jaehyung Kim 001; Jinwoo Shin (NeurIPS, 2024)

Online Adaptation of Language Models with a Memory of Amortized Contexts. - Jihoon Tack; Jaehyung Kim 001; Eric Mitchell; Jinwoo Shin; Yee Whye Teh; Jonathan Richard Schwarz (NeurIPS, 2024)

Tabular Transfer Learning via Prompting LLMs. - Jaehyun Nam; Woomin Song; Seong Hyeon Park; Jihoon Tack; Sukmin Yun; Jaehyung Kim 001; Kyu Hwan Oh; Jinwoo Shin (CoRR, 2024)

Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents. - Dongjun Lee; Juyong Lee; Kyuyoung Kim; Jihoon Tack; Jinwoo Shin; Yee Whye Teh; Kimin Lee (ICLR, 2025)

Sparsified State-Space Models are Efficient Highway Networks. - Woomin Song; Jihoon Tack; Sangwoo Mo; Seunghyuk Oh; Jinwoo Shin (Trans. Mach. Learn. Res., 2025)

LLM Pretraining with Continuous Concepts. - Jihoon Tack; Jack Lanchantin; Jane Yu; Andrew Cohen; Ilia Kulikov; Janice Lan; Shibo Hao; Yuandong Tian; Jason Weston; Xian Li 003 (CoRR, 2025)

ReVISE: Learning to Refine at Test-Time via Intrinsic Self-Verification. - Hyunseok Lee; Seunghyuk Oh; Jaehyung Kim 001; Jinwoo Shin; Jihoon Tack (CoRR, 2025)

ReGUIDE: Data Efficient GUI Grounding via Spatial Reasoning and Search. - Hyunseok Lee; Jeonghoon Kim; Beomjun Kim; Jihoon Tack; Chansong Jo; Jaehong Lee; Cheonbok Park; Sookyo In; Jinwoo Shin; Kang Min Yoo (CoRR, 2025)

Mamba Drafters for Speculative Decoding. - Daewon Choi; Seunghyuk Oh; Saket Dingliwal; Jihoon Tack; Kyuyoung Kim; Woomin Song; Seojin Kim; Insu Han; Jinwoo Shin; Aram Galstyan; Shubham Katiyar; Sravan Babu Bodapati (CoRR, 2025)

Think Clearly: Improving Reasoning via Redundant Token Pruning. - Daewon Choi; Jimin Lee; Jihoon Tack; Woomin Song; Saket Dingliwal; Sai Muralidhar Jayanthi; Bhavana Ganesh; Jinwoo Shin; Aram Galstyan; Sravan Babu Bodapati (CoRR, 2025)