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

AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models EMNLP 2025
Self-Aligning Depth-Regularized Radiance Fields for Asynchronous RGB-D Sequences WACV 2025
Optimized Gradient Clipping for Noisy Label Learning AAAI 2025
Debiased All-in-one Image Restoration with Task Uncertainty Regularization AAAI 2025
Transformers without Normalization CVPR 2025
Better Embeddings with Coupled Adam ACL 2025
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer ACL 2025
Learning Physics Informed Neural ODEs with Partial Measurements AAAI 2025
PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models EMNLP 2025
TRIAL: Token Relations and Importance Aware Late-interaction for Accurate Text Retrieval EMNLP 2025
Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025
Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025
Robust Unfolding Network for HDR Imaging with Modulo Cameras ICCV 2025
LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion ACL 2025
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking ACL 2025
ConsNoTrainLoRA: Data-driven Weight Initialization of Low-rank Adapters using Constraints ICCV 2025
Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective ICCV 2025
StitchLLM: Serving LLMs, One Block at a Time ACL 2025
MLAS-LoRA: Language-Aware Parameters Detection and LoRA-Based Knowledge Transfer for Multilingual Machine Translation ACL 2025
GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers AAAI 2025
STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning ACL 2025
HFT: Half Fine-Tuning for Large Language Models ACL 2025
GAP: a Global Adaptive Pruning Method for Large Language Models EMNLP 2025