conftrace_

neural network optimization

1293 papers

Explore in graph

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

ScaMo: Exploring the Scaling Law in Autoregressive Motion Generation Model CVPR 2025
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers IJCAI 2025
GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers AAAI 2025
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers AAAI 2025
Let’s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model COLING 2025
SuBiTO: Synopsis-based Training Optimization for Continuous Real-Time Neural Learning over Big Streaming Data AAAI 2025
ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints ICCV 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning COLING 2025
DFM: Differentiable Feature Matching for Anomaly Detection CVPR 2025
Robust Unfolding Network for HDR Imaging with Modulo Cameras ICCV 2025
A 0-Shot Self-Attention Mechanism for Accelerated Diagonal Attention WACV 2025
Adaptive Dropout: Unleashing Dropout across Layers for Generalizable Image Super-Resolution CVPR 2025
GAP: a Global Adaptive Pruning Method for Large Language Models EMNLP 2025
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning JMLR 2025
A Hybrid Framework for Airfoil Optimization: Combining PINNs and Genetic Algorithm (Student Abstract) AAAI 2025
GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation EMNLP 2025
HIGGS: Pushing the Limits of Large Language Model Quantization via the Linearity Theorem NAACL 2025
Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective ICCV 2025
Structured IB: Improving Information Bottleneck with Structured Feature Learning AAAI 2025
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training CVPR 2025
Decentralized Diffusion Models CVPR 2025
Do Your Best and Get Enough Rest for Continual Learning CVPR 2025
Accelerating Diffusion Transformer via Increment-Calibrated Caching with Channel-Aware Singular Value Decomposition CVPR 2025
Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy JMLR 2025