Conflict-Averse Gradient Descent for Multi-task Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Bo, Liu, Xingchao, Jin, Xiaojie, Stone, Peter, Liu, Qiang |
|---|---|
| Format: | Preprint |
| Published: |
2021
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies
by: Hu, Xixi, et al.
Published: (2024)
by: Hu, Xixi, et al.
Published: (2024)
Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning
by: Yang, Shan, et al.
Published: (2026)
by: Yang, Shan, et al.
Published: (2026)
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
by: Xu, Mingjing, et al.
Published: (2024)
by: Xu, Mingjing, et al.
Published: (2024)
FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
by: Liu, Junkang, et al.
Published: (2026)
by: Liu, Junkang, et al.
Published: (2026)
Memory-Efficient LLM Training with Online Subspace Descent
by: Liang, Kaizhao, et al.
Published: (2024)
by: Liang, Kaizhao, et al.
Published: (2024)
Revisiting the Initial Steps in Adaptive Gradient Descent Optimization
by: Abuduweili, Abulikemu, et al.
Published: (2024)
by: Abuduweili, Abulikemu, et al.
Published: (2024)
Elastic Multi-Gradient Descent for Parallel Continual Learning
by: Lyu, Fan, et al.
Published: (2024)
by: Lyu, Fan, et al.
Published: (2024)
Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent
by: Chen, Bo, et al.
Published: (2024)
by: Chen, Bo, et al.
Published: (2024)
Noise Balance and Stationary Distribution of Stochastic Gradient Descent
by: Ziyin, Liu, et al.
Published: (2023)
by: Ziyin, Liu, et al.
Published: (2023)
Learning Associative Memories with Gradient Descent
by: Cabannes, Vivien, et al.
Published: (2024)
by: Cabannes, Vivien, et al.
Published: (2024)
Transformers Learn to Implement Multi-step Gradient Descent with Chain of Thought
by: Huang, Jianhao, et al.
Published: (2025)
by: Huang, Jianhao, et al.
Published: (2025)
t-DGR: A Trajectory-Based Deep Generative Replay Method for Continual Learning in Decision Making
by: Yue, William, et al.
Published: (2024)
by: Yue, William, et al.
Published: (2024)
Reconstructing Deep Neural Networks: Unleashing the Optimization Potential of Natural Gradient Descent
by: Liu, Weihua, et al.
Published: (2024)
by: Liu, Weihua, et al.
Published: (2024)
Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?
by: Gatmiry, Khashayar, et al.
Published: (2024)
by: Gatmiry, Khashayar, et al.
Published: (2024)
Federated Unlearning with Gradient Descent and Conflict Mitigation
by: Pan, Zibin, et al.
Published: (2024)
by: Pan, Zibin, et al.
Published: (2024)
Optimistic Exploration for Risk-Averse Constrained Reinforcement Learning
by: McCarthy, James, et al.
Published: (2025)
by: McCarthy, James, et al.
Published: (2025)
Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning
by: Liu, Meitong, et al.
Published: (2024)
by: Liu, Meitong, et al.
Published: (2024)
The Initialization Determines Whether In-Context Learning Is Gradient Descent
by: Xie, Shifeng, et al.
Published: (2025)
by: Xie, Shifeng, et al.
Published: (2025)
Open Knowledge Base Canonicalization with Multi-task Learning
by: Liu, Bingchen, et al.
Published: (2024)
by: Liu, Bingchen, et al.
Published: (2024)
Gradient Descent Algorithm Survey
by: Fucheng, Deng, et al.
Published: (2025)
by: Fucheng, Deng, et al.
Published: (2025)
CATA: Continual Machine Unlearning via Conflict-Averse Task Arithmetic
by: Lin, Shen, et al.
Published: (2026)
by: Lin, Shen, et al.
Published: (2026)
Federated Natural Policy Gradient and Actor Critic Methods for Multi-task Reinforcement Learning
by: Yang, Tong, et al.
Published: (2023)
by: Yang, Tong, et al.
Published: (2023)
Fisher-Orthogonal Projected Natural Gradient Descent for Continual Learning
by: Garg, Ishir, et al.
Published: (2026)
by: Garg, Ishir, et al.
Published: (2026)
Randomness and Interpolation Improve Gradient Descent
by: Li, Jiawen, et al.
Published: (2025)
by: Li, Jiawen, et al.
Published: (2025)
ONG: Orthogonal Natural Gradient Descent
by: Yadav, Yajat, et al.
Published: (2025)
by: Yadav, Yajat, et al.
Published: (2025)
Provable Failure of Language Models in Learning Majority Boolean Logic via Gradient Descent
by: Chen, Bo, et al.
Published: (2025)
by: Chen, Bo, et al.
Published: (2025)
Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent
by: Kumar, Mohit, et al.
Published: (2024)
by: Kumar, Mohit, et al.
Published: (2024)
GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent
by: Marton, Sascha, et al.
Published: (2023)
by: Marton, Sascha, et al.
Published: (2023)
Vanilla Gradient Descent for Oblique Decision Trees
by: Panda, Subrat Prasad, et al.
Published: (2024)
by: Panda, Subrat Prasad, et al.
Published: (2024)
Adaptive Heavy-Tailed Stochastic Gradient Descent
by: Gong, Bodu, et al.
Published: (2025)
by: Gong, Bodu, et al.
Published: (2025)
Stochastic Gradient Descent with Momentum is Algorithmically Stable
by: Lei, Yunwen, et al.
Published: (2026)
by: Lei, Yunwen, et al.
Published: (2026)
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
by: Kim, Dohyeong, et al.
Published: (2024)
by: Kim, Dohyeong, et al.
Published: (2024)
Gradient Residual Connections
by: Pan, Yangchen, et al.
Published: (2026)
by: Pan, Yangchen, et al.
Published: (2026)
EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Model
by: Xu, Yuhao, et al.
Published: (2025)
by: Xu, Yuhao, et al.
Published: (2025)
Do pretrained Transformers Learn In-Context by Gradient Descent?
by: Shen, Lingfeng, et al.
Published: (2023)
by: Shen, Lingfeng, et al.
Published: (2023)
Reliable Conflictive Multi-View Learning
by: Xu, Cai, et al.
Published: (2024)
by: Xu, Cai, et al.
Published: (2024)
Efficient Search for Customized Activation Functions with Gradient Descent
by: Strack, Lukas, et al.
Published: (2024)
by: Strack, Lukas, et al.
Published: (2024)
Can LLMs predict the convergence of Stochastic Gradient Descent?
by: Zekri, Oussama, et al.
Published: (2024)
by: Zekri, Oussama, et al.
Published: (2024)
Optimize Weight Rounding via Signed Gradient Descent for the Quantization of LLMs
by: Cheng, Wenhua, et al.
Published: (2023)
by: Cheng, Wenhua, et al.
Published: (2023)
Resolving Token-Space Gradient Conflicts: Token Space Manipulation for Transformer-Based Multi-Task Learning
by: Jeong, Wooseong, et al.
Published: (2025)
by: Jeong, Wooseong, et al.
Published: (2025)
Similar Items
-
AdaFlow: Imitation Learning with Variance-Adaptive Flow-Based Policies
by: Hu, Xixi, et al.
Published: (2024) -
Descent-Guided Policy Gradient for Scalable Cooperative Multi-Agent Learning
by: Yang, Shan, et al.
Published: (2026) -
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
by: Xu, Mingjing, et al.
Published: (2024) -
FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
by: Liu, Junkang, et al.
Published: (2026) -
Memory-Efficient LLM Training with Online Subspace Descent
by: Liang, Kaizhao, et al.
Published: (2024)