conftrace_

gradient descent

1144 papers

Explore in graph

Also known as

GD

Co-occurring keywords

neural network (6616) neural network optimization (1293) convex optimization (1321) non-convex optimization (547) convergence rate (607) stochastic optimization (1060) convergence analysis (395) stochastic gradient descent (1091) nonconvex optimization (316) implicit bia (107)

Papers

On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning ALT 2026
CASPER: Bridging Discrete and Continuous Prompt Optimization through Feedback-Guided Gradient Descent EACL 2026
Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs AAAI 2026
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers AAAI 2026
Autonomous Vehicle Path Planning by Searching with Differentiable Simulation AAAI 2026
Area-Optimal Control Strategies for Heterogeneous Multi-Agent Pursuit AAAI 2026
Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias AAAI 2026
Timestep-Compressed Attack on Spiking Neural Networks Through Timestep-Level Backpropagation AAAI 2026
Spectrally Adaptive Channel-aware Unrolling Network for Compressed Sensing AAAI 2026
Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios AAAI 2026
AT-Field: Rethinking the Games in Adversarial Training AAAI 2026
Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis AAAI 2026
Improving the Accuracy of Dense Retrieval on the Quantized Indexes via Gradient Optimization of the Target Embeddings AAAI 2026
TweezeEdit: Consistent and Efficient Image Editing with Path Regularization AAAI 2026
DUTir at SemEval-2025 Task 4: Optimized Fine-Tuning of Linear Layers for Balanced Knowledge Forgetting and Retention ACL 2025
Corpus Poisoning via Approximate Greedy Gradient Descent ACL 2025
Learning Task Representations from In-Context Learning ACL 2025
MeMoTune: A Measure and Moment-Driven Fine-Tuning Framework for Quantized Large Language Models ACL 2025
Gradient-Adaptive Policy Optimization: Towards Multi-Objective Alignment of Large Language Models ACL 2025
Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction CVPR 2025
FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling ICCV 2025
LUSD: Localized Update Score Distillation for Text-Guided Image Editing ICCV 2025
GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing ICCV 2025
AdamS: Momentum Itself Can Be A Normalizer for LLM Pretraining and Post-training EMNLP 2025
Balanced Rate-Distortion Optimization in Learned Image Compression CVPR 2025