conftrace_

bi-level optimization

149 papers

Explore in graph

Also known as

BLO

Co-occurring keywords

neural network (6616) neural architecture search (666) knowledge distillation (3725) domain adaptation (4595) few-shot learning (3398) representation learning (6206) graph neural network (3962) adversarial attack (1621) gradient descent (1144) self-supervised learning (3777)

Papers

Adaptive Mixing of Auxiliary Losses in Supervised Learning AAAI 2023
Learning to Select Pivotal Samples for Meta Re-weighting AAAI 2023
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary Environment AAAI 2023
Bi-level Finetuning with Task-dependent Similarity Structure for Low-resource Training ACL 2023
LABO: Towards Learning Optimal Label Regularization via Bi-level Optimization ACL 2023
MetaViewer: Towards a Unified Multi-View Representation CVPR 2023
Trainable Projected Gradient Method for Robust Fine-Tuning CVPR 2023
Bi-Level Meta-Learning for Few-Shot Domain Generalization CVPR 2023
Joint Data-Task Generation for Auxiliary Learning NIPS 2023
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification NIPS 2023
Behavior Alignment via Reward Function Optimization NIPS 2023
Learning Multi-agent Behaviors from Distributed and Streaming Demonstrations NIPS 2023
Task-aware world model learning with meta weighting via bi-level optimization NIPS 2023
When Demonstrations meet Generative World Models: A Maximum Likelihood Framework for Offline Inverse Reinforcement Learning NIPS 2023
Parallel-mentoring for Offline Model-based Optimization NIPS 2023
Dataset Condensation With Distribution Matching WACV 2023
Distributed Inverse Constrained Reinforcement Learning for Multi-agent Systems NIPS 2022
FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation NAACL 2022
Learning of Global Objective for Network Flow in Multi-Object Tracking CVPR 2022
Learning to Robustly Aggregate Labeling Functions for Semi-supervised Data Programming ACL 2022
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning CVPR 2022
Fair Representation Learning through Implicit Path Alignment ICML 2022
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models EMNLP 2022
Preemptive Image Robustification for Protecting Users against Man-in-the-Middle Adversarial Attacks AAAI 2022
Fairness by “Where”: A Statistically-Robust and Model-Agnostic Bi-level Learning Framework AAAI 2022