Poster "multi-task learning" Papers

77 papers found • Page 1 of 2

Adaptable Safe Policy Learning from Multi-task Data with Constraint Prioritized Decision Transformer

Ruiqi Xue, Ziqian Zhang, Lihe Li et al.

NEURIPS 2025

Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs

Yi Hu, Shijia Kang, Haotong Yang et al.

NEURIPS 2025arXiv:2502.11525
4
citations

Context-aware Dynamic Pruning for Speech Foundation Models

Masao Someki, Yifan Peng, Siddhant Arora et al.

ICLR 2025
7
citations

CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi Sensing

Guozhen Zhu, Yuqian Hu, Weihang Gao et al.

NEURIPS 2025arXiv:2505.21866
4
citations

DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation

Changdae Oh, Yixuan Li, Kyungwoo Song et al.

ICLR 2025arXiv:2410.03782
16
citations

Decouple-Then-Merge: Finetune Diffusion Models as Multi-Task Learning

Qianli Ma, Xuefei Ning, Dongrui Liu et al.

CVPR 2025arXiv:2410.06664
3
citations

Disentangling Representations through Multi-task Learning

Pantelis Vafidis, Aman Bhargava, Antonio Rangel

ICLR 2025arXiv:2407.11249
5
citations

DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations

Krishna Sri Ipsit Mantri, Carola-Bibiane Schönlieb, Bruno Ribeiro et al.

CVPR 2025arXiv:2502.06029
5
citations

Efficient Depth Estimation for Unstable Stereo Camera Systems on AR Glasses

Yongfan Liu, Hyoukjun Kwon

CVPR 2025arXiv:2411.10013

FaceXFormer: A Unified Transformer for Facial Analysis

Kartik Narayan, Vibashan VS, Rama Chellappa et al.

ICCV 2025arXiv:2403.12960
37
citations

Fast and Accurate Blind Flexible Docking

Zizhuo Zhang, Lijun Wu, Kaiyuan Gao et al.

ICLR 2025arXiv:2502.14934
1
citations

Fast Rate Bounds for Multi-Task and Meta-Learning with Different Sample Sizes

Hossein Zakerinia, Christoph Lampert

NEURIPS 2025arXiv:2505.15496
1
citations

FedRAM: Federated Reweighting and Aggregation for Multi-Task Learning

Fan Wu, Xinyu Yan, Jiabei Liu et al.

NEURIPS 2025

FREE-Merging: Fourier Transform for Efficient Model Merging

Shenghe Zheng, Hongzhi Wang

ICCV 2025arXiv:2411.16815
3
citations

GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning

Minghao Xu, Yunteng Geng, Yihang Zhang et al.

ICLR 2025arXiv:2405.16206
6
citations

Gradient Alignment in Physics-informed Neural Networks: A Second-Order Optimization Perspective

Sifan Wang, Ananyae bhartari, Bowen Li et al.

NEURIPS 2025arXiv:2502.00604
38
citations

HMoRA: Making LLMs More Effective with Hierarchical Mixture of LoRA Experts

Mengqi Liao, Wei Chen, Junfeng Shen et al.

ICLR 2025
8
citations

How Far Are We from True Unlearnability?

Kai Ye, Liangcai Su, Chenxiong Qian

ICLR 2025arXiv:2509.08058
4
citations

Joint Self-Supervised Video Alignment and Action Segmentation

Ali Shah Ali, Syed Ahmed Mahmood, Mubin Saeed et al.

ICCV 2025arXiv:2503.16832
3
citations

LiFT: Learning to Fine-Tune via Bayesian Parameter Efficient Meta Fine-Tuning

Minyoung Kim, Timothy Hospedales

ICLR 2025
1
citations

LiNeS: Post-training Layer Scaling Prevents Forgetting and Enhances Model Merging

Ke Wang, Nikos Dimitriadis, Alessandro Favero et al.

ICLR 2025arXiv:2410.17146
27
citations

Many-Objective Multi-Solution Transport

Ziyue Li, Tian Li, Virginia Smith et al.

ICLR 2025arXiv:2403.04099
6
citations

Mitigating Parameter Interference in Model Merging via Sharpness-Aware Fine-Tuning

Yeoreum Lee, Jinwook Jung, Sungyong Baik

ICLR 2025arXiv:2504.14662
8
citations

MMTL-UniAD: A Unified Framework for Multimodal and Multi-Task Learning in Assistive Driving Perception

Wenzhuo Liu, Wenshuo Wang, Yicheng Qiao et al.

CVPR 2025arXiv:2504.02264
7
citations

ModalTune: Fine-Tuning Slide-Level Foundation Models with Multi-Modal Information for Multi-task Learning in Digital Pathology

Vishwesh Ramanathan, Tony Xu, Pushpak Pati et al.

ICCV 2025arXiv:2503.17564
1
citations

More Experts Than Galaxies: Conditionally-Overlapping Experts with Biologically-Inspired Fixed Routing

Sagi Shaier, Francisco Pereira, Katharina Kann et al.

ICLR 2025arXiv:2410.08003

MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm

Ziyan Guo, Zeyu HU, Na Zhao et al.

ICCV 2025arXiv:2502.02358
12
citations

NTKMTL: Mitigating Task Imbalance in Multi-Task Learning from Neural Tangent Kernel Perspective

Xiaohan Qin, Xiaoxing Wang, Ning Liao et al.

NEURIPS 2025arXiv:2510.18258

ObjectMover: Generative Object Movement with Video Prior

Xin Yu, Tianyu Wang, Soo Ye Kim et al.

CVPR 2025arXiv:2503.08037
13
citations

Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences

Nikos Dimitriadis, Pascal Frossard, François Fleuret

ICLR 2025arXiv:2407.08056
11
citations

Prevalence of Negative Transfer in Continual Reinforcement Learning: Analyses and a Simple Baseline

Hongjoon Ahn, Jinu Hyeon, Youngmin Oh et al.

ICLR 2025
2
citations

Progressive Homeostatic and Plastic Prompt Tuning for Audio-Visual Multi-Task Incremental Learning

Jiong Yin, Liang Li, Jiehua Zhang et al.

ICCV 2025arXiv:2507.21588
1
citations

Provable Meta-Learning with Low-Rank Adaptations

Jacob Block, Sundararajan Srinivasan, Liam Collins et al.

NEURIPS 2025arXiv:2410.22264

Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning

Wooseong Jeong, Kuk-Jin Yoon

ICCV 2025arXiv:2507.07485

Swiss Army Knife: Synergizing Biases in Knowledge from Vision Foundation Models for Multi-Task Learning

Yuxiang Lu, Shengcao Cao, Yu-Xiong Wang

ICLR 2025arXiv:2410.14633
6
citations

Synchronizing Task Behavior: Aligning Multiple Tasks during Test-Time Training

Wooseong Jeong, Jegyeong Cho, Youngho Yoon et al.

ICCV 2025arXiv:2507.07778
1
citations

TADFormer: Task-Adaptive Dynamic TransFormer for Efficient Multi-Task Learning

Seungmin Baek, Soyul Lee, Hayeon Jo et al.

CVPR 2025arXiv:2501.04293
1
citations

Task Vector Quantization for Memory-Efficient Model Merging

Youngeun Kim, Seunghwan Lee, Aecheon Jung et al.

ICCV 2025arXiv:2503.06921
3
citations

Towards Minimizing Feature Drift in Model Merging: Layer-wise Task Vector Fusion for Adaptive Knowledge Integration

Wenju Sun, Qingyong Li, Wen Wang et al.

NEURIPS 2025arXiv:2505.23859
3
citations

Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detection

Dat NGUYEN, Marcella Astrid, Anis Kacem et al.

ICCV 2025arXiv:2501.01184
1
citations

WeakMCN: Multi-task Collaborative Network for Weakly Supervised Referring Expression Comprehension and Segmentation

Silin Cheng, Yang Liu, Xinwei He et al.

CVPR 2025arXiv:2505.18686
3
citations

Z-Magic: Zero-shot Multiple Attributes Guided Image Creator

Yingying Deng, Xiangyu He, Fan Tang et al.

CVPR 2025arXiv:2503.12124
3
citations

A Backpack Full of Skills: Egocentric Video Understanding with Diverse Task Perspectives

Simone Alberto Peirone, Francesca Pistilli, Antonio Alliegro et al.

CVPR 2024arXiv:2403.03037
11
citations

Adaptive Multi-task Learning for Few-shot Object Detection

Yan Ren, Yanling Li, Wai-Kin Adams Kong

ECCV 2024
6
citations

A Hierarchical Adaptive Multi-Task Reinforcement Learning Framework for Multiplier Circuit Design

Zhihai Wang, Jie Wang, Dongsheng Zuo et al.

ICML 2024

An Efficient and Effective Transformer Decoder-Based Framework for Multi-Task Visual Grounding

Wei Chen, Long Chen, Yu Wu

ECCV 2024arXiv:2408.01120
17
citations

A Unified Image Compression Method for Human Perception and Multiple Vision Tasks

Sha Guo, Sui Lin, Chen-Lin Zhang et al.

ECCV 2024

Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning

Idan Achituve, Idit Diamant, Arnon Netzer et al.

ICML 2024arXiv:2402.04005
13
citations

Careful with that Scalpel: Improving Gradient Surgery with an EMA

Yu-Guan Hsieh, James Thornton, Eugene Ndiaye et al.

ICML 2024arXiv:2402.02998
2
citations

Collaborative Learning with Different Labeling Functions

yuyang deng, Mingda Qiao

ICML 2024arXiv:2402.10445
1
citations
PreviousNext