conftrace_

neural network optimization

1,462 papers

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Co-occurring keywords · papers mentioning both

model compression (297) neural network (118) convolutional neural network (111) stochastic gradient descent (109) gradient descent (109) efficient computing (79) deep neural network (69) large language model (69) knowledge distillation (57) representation learning (54)

Papers

Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025 Parameter-Efficient Fine-Tuning with Circulant and Diagonal Vectors IJCAI 2025 Plastic Learning with Deep Fourier Features ICLR 2025 PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models EMNLP 2025 Preserving Deep Representations in One-Shot Pruning: A Hessian-Free Second-Order Optimization Framework ICLR 2025 ProReflow: Progressive Reflow with Decomposed Velocity CVPR 2025 ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models COLING 2025 Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging CVPR 2025 Quantization without Tears CVPR 2025 RandLoRA: Full rank parameter-efficient fine-tuning of large models ICLR 2025 RaSA: Rank-Sharing Low-Rank Adaptation ICLR 2025 Reasoning with Latent Thoughts: On the Power of Looped Transformers ICLR 2025 Reason to Rote: Rethinking Memorization in Reasoning EMNLP 2025 Remove Symmetries to Control Model Expressivity and Improve Optimization ICLR 2025 Representation Shift: Unifying Token Compression with FlashAttention ICCV 2025 Revisiting Intermediate-Layer Matching in Knowledge Distillation: Layer-Selection Strategy Doesn’t Matter (Much) IJCNLP 2025 Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025 Robust Unfolding Network for HDR Imaging with Modulo Cameras ICCV 2025 Router-Tuning: A Simple and Effective Approach for Dynamic Depth EMNLP 2025 Run LoRA Run: Faster and Lighter LoRA Implementations ACL 2025 SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025 Scaling Optimal LR Across Token Horizons ICLR 2025 ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model CVPR 2025 Scheduling Weight Transitions for Quantization-Aware Training ICCV 2025 Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes CVPR 2025