conftrace_

neural network optimization

1293 papers

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Co-occurring keywords

model compression (3302) neural network (6616) convolutional neural network (4226) gradient descent (1144) stochastic gradient descent (1091) efficient computing (781) deep neural network (1803) large language model (13587) knowledge distillation (3725) representation learning (6206)

Papers

Let’s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model COLING 2025
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning COLING 2025
Enhancing Mixture of Experts with Independent and Collaborative Learning for Long-Tail Visual Recognition IJCAI 2025
AdaR: An Adaptive Gradient Method with Cyclical Restarting of Moment Estimations IJCAI 2025
Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approach IJCAI 2025
Reason to Rote: Rethinking Memorization in Reasoning EMNLP 2025
GAP: a Global Adaptive Pruning Method for Large Language Models EMNLP 2025
The Role of Outgoing Connection Heterogeneity in Feedforward Layers of Large Language Models EMNLP 2025
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models EMNLP 2025
HFT: Half Fine-Tuning for Large Language Models ACL 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers IJCAI 2025
STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning ACL 2025
Representation Shift: Unifying Token Compression with FlashAttention ICCV 2025
GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing ICCV 2025
SAMO: A Lightweight Sharpness-Aware Approach for Multi-Task Optimization with Joint Global-Local Perturbation ICCV 2025
MLAS-LoRA: Language-Aware Parameters Detection and LoRA-Based Knowledge Transfer for Multilingual Machine Translation ACL 2025
Asymptotic Unbiased Sample Sampling to Speed Up Sharpness-Aware Minimization AAAI 2025
Transformers without Normalization CVPR 2025
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos CVPR 2025
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training CVPR 2025
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution CVPR 2025
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition CVPR 2025
Decentralized Diffusion Models CVPR 2025
DFM: Differentiable Feature Matching for Anomaly Detection CVPR 2025