conftrace_

gradient optimization

57 papers

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Co-occurring keywords

large language model (13587) gradient-based optimization (192) gradient descent (1144) multi-task learning (2575) neural network optimization (1293) domain adaptation (4595) neural network training (309) representation learning (6206) monte carlo tree search (271) adversarial attack (1621)

Papers

DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks AAAI 2026
Gradient-Protected Value Decomposition for Cooperative Multi-Agent Reinforcement Learning AAAI 2026
Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement AAAI 2026
Editing Is a Bargaining Game: Balanced Knowledge Editing in Large Language Models AAAI 2026
Drawing Informative Gradients from Sources: A One-stage Transfer Learning Framework for Cross-city Spatiotemporal Forecasting AAAI 2025
SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025
Learning to Generate Gradients for Test-Time Adaptation via Test-Time Training Layers AAAI 2025
Physical Adversarial Camouflage Through Gradient Calibration and Regularization IJCAI 2025
Uncertainty-Aware Gradient Stabilization for Small Object Detection ICCV 2025
Dual-Balancing for Physics-Informed Neural Networks IJCAI 2025
Leveraging First and Zeroth-Order Gradient to Address Imbalanced Black-Box Prompt Tuning via Minimax Optimization AAAI 2025
Gradient Weight-normalized Low-rank Projection for Efficient LLM Training AAAI 2025
SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM AAAI 2025
Enhancing Transferability of Targeted Adversarial Examples via Inverse Target Gradient Competition and Spatial Distance Stretching ICCV 2025
ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks AAAI 2025
Accelerating Diffusion Transformer via Gradient-Optimized Cache ICCV 2025
Boosting Multimodal Learning via Disentangled Gradient Learning ICCV 2025
MUNBa: Machine Unlearning via Nash Bargaining ICCV 2025
YNU at SemEval-2025 Task 4: Synthetic Token Alternative Training for LLM Unlearning ACL 2025
Making Every Step Effective: Jailbreaking Large Vision-Language Models Through Hierarchical KV Equalization EMNLP 2025
Mixtures of In-Context Learners ACL 2025
Reimagining Safety Alignment with An Image EMNLP 2025
Improving Multimodal Learning via Imbalanced Learning ICCV 2025
Augmented Adversarial Trigger Learning NAACL 2025
FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data IJCAI 2025