TMLR

Achieving Adaptivity and Optimality for Multi-armed Bandits using Exponential-Kullback Leibler Maillard Sampling

Hao Qin, Kwang-Sung Jun, Chicheng Zhang

Boosting Text Encoder for Personalized Text-to-Image Generation

NaHyeon Park, Kunhee Kim, Hyunjung Shim

CUDA: Capturing Uncertainty and Diversity in Preference Feedback Augmentation

Sehyeok Kang, Jaewook Jeong, Se-Young Yun

DiffusionRollout: Uncertainty-Aware Rollout Planning in Long-Horizon PDE Solving

Seungwoo Yoo, Juil Koo, Daehyeon Choi, Minhyuk Sung

DS-STAR: Data Science Agent for Solving Diverse Tasks across Heterogeneous Formats and Open-Ended Queries

Jaehyun Nam, Jinsung Yoon, Jiefeng Chen, Rajarishi Sinha, Jinwoo Shin, Tomas Pfister

Efficient LLM Collaboration via Planning

Byeongchan Lee, Jonghoon Lee, Dongyoung Kim, Jaehyung Kim, Kyungjoon Park, Dongjun Lee, Jinwoo Shin

Hybrid Architectures for Language Models: Systematic Analysis and Design Insights

Sangmin Bae, Bilge Acun, Chien-Yu Lin, Haroun Habeeb, Seungyeon Kim, Liang Luo, Junjie Wang, Carole-Jean Wu

Hypothesize and Verify: Natural-Language Explanations of Vision Model Errors

Hyeon-Woo Nam, Yoonsu Kim, Kihoon Son, Juho Kim, Tae-Hyun Oh

Hypothesize and Verify: Natural-Language Explanations of Vision Model Errors

Nam Hyeon-Woo, Yoonsu Kim, Kihoon Son, Juho Kim, Tae-Hyun Oh

Inference-Time Scaling for Joint Audio-Video Generation

Jaemin Jung, Kyeongha Rho, Inkyu Shin, Joon Son Chung

Is There a Better Source Distribution than Gaussian? Exploring Source Distributions for Image Flow Matching

Junho Lee, Kwanseok Kim, Joonseok Lee

PruneFuse: Efficient Data Selection via Weight Pruning and Network Fusion

H. Kousar*, H. I. Bhatti*, J. Moon.

Rethinking Reward Models for Multi-Domain Test-Time Scaling

Dong Bok Lee, Seanie Lee, Sangwoo Park, Minki Kang, Jinheon Baek, Dongki Kim, Dominik Wagner, Jiongdao Jin, Heejun Lee, Tobias Bocklet, Jinyu Wang, Jingjing Fu, Sung Ju Hwang, Jiang Bian, Lei Song

Revisiting Learning-based Video Motion Magnification for Real-time Processing

Hyunwoo Ha, Oh Hyun-Bin, Kim Jun-Seong, Kwon Byung-Ki, Kim Sung-Bin, Linh-Tam Tran, Ji-Yun Kim, Sung-Ho Bae, Tae-Hyun Oh

Sample-wise Adaptive Weighting for Transfer Consistency in Adversarial Distillation

Hongsin Lee and Hye Won Chung

Stabilizing Consistency Training: A Flow Map Analysis and Self-Distillation

Youngjoong Kim, Duhoe Kim, Woosung Kim, and Jaesik Park

TestDG: Test-time Domain Generalization for Continual Test-time Adaptation

Sohyun Lee, Nayeong Kim, Juwon Kang, Seong Joon Oh, Suha Kwak

Active Prompt Learning with Vision-Language Model Priors

Hoyoung Kim, Seokhee Jin, Changhwan Sung, Jaechang Kim, Jungseul Ok

Buffer-based Gradient Projection for Continual Federated Learning

S. Dai, J. Sohn, B. Chen, S. Alam, R. Balakrishnan, S. Banerjee, N. Himayat, K. Lee

CLIP Meets Diffusion: A Synergistic Approach to Anomaly Detection

Byeongchan Lee, John Won, Seunghyun Lee, Jinwoo Shin

Enhancing Cost Efficiency in Active Learning with Candidate Set Query

Yeho Gwon, Sehyun Hwang, Hoyoung Kim, Jungseul Ok, Suha Kwak

Enhancing Cost Efficiency in Active Learning with Candidate Set Query

Yeho Gwon, Sehyun Hwang, Hoyoung Kim, Jungseul Ok, Suha Kwak

Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting

Inkyu Shin, Qihang Yu, Ming-Hsuan Yang, Xiaohui Shen, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen

FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated Learning

Seongyoon Kim, Minchan Jeong, Sungnyun Kim, Sungwoo Cho, Sumyeong Ahn, Se-Young Yun

GenOL: Generating Diverse Examples for Name-only Online Learning

Minhyuk Seo, Seongwon Cho, Minjae Lee, Diganta Misra, Hyeonbeom Choi, Seon Joo Kim, Jonghyun Choi

Label Distribution Shift-Aware Prediction Refinement for Test Time Adaptation

Minguk Jang and Hye Won Chung

Large-Scale Targeted Cause Discovery via Learning from Simulated Data

Jang-Hyun Kim, Claudia Skok Gibbs, Sangdoo Yun, Hyun Oh Song, Kyunghyun Cho

MaskRIS: Semantic Distortion-aware Data Augmentation for Referring Image Segmentation

Minhyun Lee, Seungho Lee, Song Park, Dongyoon Han, Byeongho Heo, Hyunjung Shim

MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models

Chunsan Hong, Tae-Hyun Oh, Minhyuk Sung

MemBench: Memorized Image Trigger Prompt Dataset for Diffusion Models

Chunsan Hong, Tae-Hyun Oh, Minhyuk Sung

Memory-Modular Classification: Learning to Generalize with Memory Replacement

Dahyun Kang, Ahmet Iscen, Eunchan Jo, Sua Choi, Minsu Cho, Cordelia Schmid

Over-parameterised shallow neural networks with asymmetrical node scaling: global convergence guarantees and feature learning

François Caron, Fadhel Ayed, Paul Jung, Hoil Lee, Juho Lee, Hongseok Yang

RefDeblur: Blind Motion Deblurring with Self-Generated Reference Image

Insoo Kim, Geonseok Seo, Hyong-Euk Lee, Jinwoo Shin

Sparsified State-Space Models are Efficient Highway Networks

Woomin Song, Jihoon Tack, Sangwoo Mo, Seunghyuk Oh, Jinwoo Shin

SuFP: Piecewise Bit Allocation Floating-Point for Robust Neural Network Quantization

Geonwoo Ko, Sungyeob Yoo, Seri Ham, Seeyeon Kim, Minkyu Kim, Joo-Young Kim

VLM’s Eye Examination: Instruct and Inspect Visual Competency of Vision Language Models

Nam Hyeon-Woo, Moon Ye-Bin, Wonseok Choi, Lee Hyun, Tae-Hyun Oh

VSCoDe: Visual-Augmentation Selection for Contrastive Decoding

Sihyeon Kim, Boryeong Cho, Sangmin Bae, Sumyeong Ahn, Se-Young Yun

Budget-Aware Sequential Brick Assembly with Efficient Constraint Satisfaction

Seokjun Ahn*, Jungtaek Kim*, Minsu Cho, and Jaesik Park

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness

Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong

Confidence-aware Denoised Fine-tuning of Off-the-shelf Models for Certified Robustness

Suhyeok Jang, Seojin Kim, Jinwoo Shin, Jongheon Jeong