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

Seeking Consistent Flat Minima for Better Domain Generalization via Refining Loss Landscapes CVPR 2025
MossNet: Mixture of State-Space Experts is a Multi-Head Attention IJCNLP 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025
HFT: Half Fine-Tuning for Large Language Models ACL 2025
Video Depth Anything: Consistent Depth Estimation for Super-Long Videos CVPR 2025
STUN: Structured-Then-Unstructured Pruning for Scalable MoE Pruning ACL 2025
Do Your Best and Get Enough Rest for Continual Learning CVPR 2025
MLAS-LoRA: Language-Aware Parameters Detection and LoRA-Based Knowledge Transfer for Multilingual Machine Translation ACL 2025
Transformers without Normalization CVPR 2025
StitchLLM: Serving LLMs, One Block at a Time ACL 2025
Tuning the Frequencies: Robust Training for Sinusoidal Neural Networks CVPR 2025
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking ACL 2025
Deconstructing Attention: Investigating Design Principles for Effective Language Modeling IJCNLP 2025
LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion ACL 2025
A Hybrid Framework for Airfoil Optimization: Combining PINNs and Genetic Algorithm (Student Abstract) AAAI 2025
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025
Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025
MSQ: Memory-Efficient Bit Sparsification Quantization ICCV 2025
LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation EMNLP 2025
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing ICCV 2025
Scheduling Weight Transitions for Quantization-Aware Training ICCV 2025
Generalization Analysis for Deep Contrastive Representation Learning AAAI 2025
CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning AAAI 2025
GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation EMNLP 2025