Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales

Terms and Conditions

Twitter GitHub LinkedIn Bluesky Youtube

© 2026 ResearchTrend.AI, All rights reserved.

Home
Papers
2001.06782
Cited By

Gradient Surgery for Multi-Task Learning

v1v2v3v4 (latest)

Gradient Surgery for Multi-Task Learning

Neural Information Processing Systems (NeurIPS), 2020

19 January 2020

Abhishek Gupta

ArXiv (abs)PDF HTML HuggingFace (1 upvotes)

Papers citing "Gradient Surgery for Multi-Task Learning"

50 / 770 papers shown

EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis

EGGS: Exchangeable 2D/3D Gaussian Splatting for Geometry-Appearance Balanced Novel View Synthesis

382

1

0

02 Dec 2025

Towards Unified Video Quality Assessment

Towards Unified Video Quality Assessment

123

0

0

01 Dec 2025

SocialFusion: Addressing Social Degradation in Pre-trained Vision-Language Models

SocialFusion: Addressing Social Degradation in Pre-trained Vision-Language Models

217

0

0

30 Nov 2025

FairMT: Fairness for Heterogeneous Multi-Task Learning

FairMT: Fairness for Heterogeneous Multi-Task Learning

122

0

0

29 Nov 2025

Mean-Field Limits for Two-Layer Neural Networks Trained with Consensus-Based Optimization

Mean-Field Limits for Two-Layer Neural Networks Trained with Consensus-Based Optimization

William De Deyn

Giovanni Samaey

207

0

0

26 Nov 2025

3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding

3D-Aware Multi-Task Learning with Cross-View Correlations for Dense Scene Understanding

251

1

0

25 Nov 2025

Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation

Decoupling and Damping: Structurally-Regularized Gradient Matching for Multimodal Graph Condensation

155

1

0

25 Nov 2025

AttnRegDeepLab: A Two-Stage Decoupled Framework for Interpretable Embryo Fragmentation Grading

AttnRegDeepLab: A Two-Stage Decoupled Framework for Interpretable Embryo Fragmentation Grading

89

0

0

23 Nov 2025

PhysMorph-GS: Render-Guided Volumetric Morphing with Differentiable Physics

PhysMorph-GS: Render-Guided Volumetric Morphing with Differentiable PhysicsDesign Automation Conference (DAC), 2025

Chang-Yong Song

191

0

0

21 Nov 2025

Geometric-disentangelment Unlearning

Geometric-disentangelment Unlearning

...

Huan Zhang

389

0

0

21 Nov 2025

Late-decoupled 3D Hierarchical Semantic Segmentation with Semantic Prototype Discrimination based Bi-branch Supervision

Late-decoupled 3D Hierarchical Semantic Segmentation with Semantic Prototype Discrimination based Bi-branch Supervision

230

0

0

20 Nov 2025

Bridging VLMs and Embodied Intelligence with Deliberate Practice Policy Optimization

Bridging VLMs and Embodied Intelligence with Deliberate Practice Policy Optimization

...

218

2

0

20 Nov 2025

EGSA-PT:Edge-Guided Spatial Attention with Progressive Training for Monocular Depth Estimation and Segmentation of Transparent Objects

EGSA-PT:Edge-Guided Spatial Attention with Progressive Training for Monocular Depth Estimation and Segmentation of Transparent Objects

Ramy M. A. Farag

Seyed Mohamad Ali Tousi

334

0

0

18 Nov 2025

SLAM-AGS: Slide-Label Aware Multi-Task Pretraining Using Adaptive Gradient Surgery in Computational Cytology

SLAM-AGS: Slide-Label Aware Multi-Task Pretraining Using Adaptive Gradient Surgery in Computational Cytology

Swarnadip Chatterjee

Christophe Avenel

Joakim Lindblad

142

0

0

18 Nov 2025

Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement Learning

Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement Learning

161

2

0

17 Nov 2025

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation

Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation

Hongyang R. Zhang

488

2

0

16 Nov 2025

Balancing Multi-modal Sensor Learning via Multi-objective Optimization

Balancing Multi-modal Sensor Learning via Multi-objective Optimization

Heshan Devaka Fernando

Horst Samulowitz

Nathalie Baracaldo

282

1

0

10 Nov 2025

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning

Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning

193

4

0

09 Nov 2025

Improving Unlearning with Model Updates Probably Aligned with Gradients

Improving Unlearning with Model Updates Probably Aligned with Gradients

278

0

0

04 Nov 2025

Clustering-Based Weight Orthogonalization for Stabilizing Deep Reinforcement Learning

Clustering-Based Weight Orthogonalization for Stabilizing Deep Reinforcement LearningIEEE International Joint Conference on Neural Network (IJCNN), 2025

173

2

0

02 Nov 2025

KFCPO: Kronecker-Factored Approximated Constrained Policy Optimization

KFCPO: Kronecker-Factored Approximated Constrained Policy Optimization

118

0

0

02 Nov 2025

NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception

NegoCollab: A Common Representation Negotiation Approach for Heterogeneous Collaborative Perception

129

1

0

31 Oct 2025

SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing

SplitFlow: Flow Decomposition for Inversion-Free Text-to-Image Editing

Gaspard Beaudouin

Muhammad Rafay Azhar

313

6

0

29 Oct 2025

Language-Conditioned Representations and Mixture-of-Experts Policy for Robust Multi-Task Robotic Manipulation

Language-Conditioned Representations and Mixture-of-Experts Policy for Robust Multi-Task Robotic Manipulation

194

1

0

28 Oct 2025

Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery

Efficient Utility-Preserving Machine Unlearning with Implicit Gradient Surgery

323

2

0

25 Oct 2025

Attention Residual Fusion Network with Contrast for Source-free Domain Adaptation

Attention Residual Fusion Network with Contrast for Source-free Domain Adaptation

179

0

0

25 Oct 2025

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation

Bi-Level Optimization for Generative Recommendation: Bridging Tokenization and Generation

Andrew Rabinovich

162

3

0

24 Oct 2025

Differentiable Constraint-Based Causal Discovery

Differentiable Constraint-Based Causal Discovery

219

1

0

24 Oct 2025

Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design

Uncertainty-Aware Multi-Objective Reinforcement Learning-Guided Diffusion Models for 3D De Novo Molecular Design

Dongkyu Eugene Kim

Mike Domaratzki

275

1

0

24 Oct 2025

Separating the what and how of compositional computation to enable reuse and continual learning

Separating the what and how of compositional computation to enable reuse and continual learning

163

1

0

23 Oct 2025

Imbalanced Gradients in RL Post-Training of Multi-Task LLMs

Imbalanced Gradients in RL Post-Training of Multi-Task LLMs

Yonathan Efroni

252

6

0

22 Oct 2025

Imitation Learning Policy based on Multi-Step Consistent Integration Shortcut Model

Imitation Learning Policy based on Multi-Step Consistent Integration Shortcut Model

197

0

0

22 Oct 2025

Controllable Machine Unlearning via Gradient Pivoting

Controllable Machine Unlearning via Gradient Pivoting

277

0

0

22 Oct 2025

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

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

172

0

0

21 Oct 2025

Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models

Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models

159

1

0

20 Oct 2025

Towards Error Centric Intelligence I, Beyond Observational Learning

Towards Error Centric Intelligence I, Beyond Observational Learning

Marcus A. Thomas

212

1

0

16 Oct 2025

Causality Enhancement for Cross-Domain Recommendation

Causality Enhancement for Cross-Domain Recommendation

144

0

0

16 Oct 2025

FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning

FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning

409

0

0

09 Oct 2025

VAO: Validation-Aligned Optimization for Cross-Task Generative Auto-Bidding

VAO: Validation-Aligned Optimization for Cross-Task Generative Auto-Bidding

...

213

0

0

09 Oct 2025

AutoBalance: An Automatic Balancing Framework for Training Physics-Informed Neural Networks

AutoBalance: An Automatic Balancing Framework for Training Physics-Informed Neural Networks

157

0

0

08 Oct 2025

EBGAN-MDN: An Energy-Based Adversarial Framework for Multi-Modal Behavior Cloning

EBGAN-MDN: An Energy-Based Adversarial Framework for Multi-Modal Behavior Cloning

171

0

0

08 Oct 2025

Multi-Task Reinforcement Learning with Language-Encoded Gated Policy Networks

Multi-Task Reinforcement Learning with Language-Encoded Gated Policy Networks

140

0

0

07 Oct 2025

Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) Recommendations

Direct Routing Gradient (DRGrad): A Personalized Information Surgery for Multi-Task Learning (MTL) RecommendationsAAAI Conference on Artificial Intelligence (AAAI), 2025

108

1

0

04 Oct 2025

SAMSOD: Rethinking SAM Optimization for RGB-T Salient Object Detection

SAMSOD: Rethinking SAM Optimization for RGB-T Salient Object Detection

171

2

0

04 Oct 2025

SAGE: Streaming Agreement-Driven Gradient Sketches for Representative Subset Selection

SAGE: Streaming Agreement-Driven Gradient Sketches for Representative Subset Selection

217

0

0

02 Oct 2025

C2AL: Cohort-Contrastive Auxiliary Learning for Large-scale Recommendation Systems

C2AL: Cohort-Contrastive Auxiliary Learning for Large-scale Recommendation Systems

...

254

1

0

02 Oct 2025

Are Large Vision-Language Models Ready to Guide Blind and Low-Vision Individuals?

Are Large Vision-Language Models Ready to Guide Blind and Low-Vision Individuals?

James Thorne

Hyunjung Shim

174

1

0

01 Oct 2025

Finetune Once: Decoupling General & Domain Learning with Dynamic Boosted Annealing

Finetune Once: Decoupling General & Domain Learning with Dynamic Boosted Annealing

175

0

0

30 Sep 2025

AReUReDi: Annealed Rectified Updates for Refining Discrete Flows with Multi-Objective Guidance

AReUReDi: Annealed Rectified Updates for Refining Discrete Flows with Multi-Objective Guidance

Pranam Chatterjee

230

4

0

30 Sep 2025

AIM: Adaptive Intervention for Deep Multi-task Learning of Molecular Properties

AIM: Adaptive Intervention for Deep Multi-task Learning of Molecular Properties

Gisbert Schneider

142

1

0

30 Sep 2025

1 2 3 4...14 15 16

Page 1 of 16

Pageof 16