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

DFM: Differentiable Feature Matching for Anomaly Detection CVPR 2025
Deconstructing Attention: Investigating Design Principles for Effective Language Modeling IJCNLP 2025
HotSpot: Signed Distance Function Optimization with an Asymptotically Sufficient Condition CVPR 2025
LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion ACL 2025
Deconstructing Attention: Investigating Design Principles for Effective Language Modeling AACL 2025
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory CVPR 2025
Self-Adjust Softmax EMNLP 2025
Adapting IndicTrans2 for Legal Domain MT via QLoRA Fine-Tuning at JUST-NLP 2025 IJCNLP 2025
HIGGS: Pushing the Limits of Large Language Model Quantization via the Linearity Theorem NAACL 2025
Automated Superscalar Processor Design by Learning Data Dependencies IJCAI 2025
Improving Deep Learning Speed and Performance Through Synaptic Neural Balance AAAI 2025
Complexity Experts are Task-Discriminative Learners for Any Image Restoration CVPR 2025
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025
Structured IB: Improving Information Bottleneck with Structured Feature Learning AAAI 2025
Towards Efficient Verification of Quantized Neural Networks AAAI 2024
Batch Normalization Is Blind to the First and Second Derivatives of the Loss AAAI 2024
Preparing Lessons for Progressive Training on Language Models AAAI 2024
Layer Collaboration in the Forward-Forward Algorithm AAAI 2024
Jump to Conclusions: Short-Cutting Transformers with Linear Transformations COLING 2024
BadRL: Sparse Targeted Backdoor Attack against Reinforcement Learning AAAI 2024
Towards Geometric Normalization Techniques in SE(3) Equivariant Graph Neural Networks for Physical Dynamics Simulations IJCAI 2024
Empowering Resampling Operation for Ultra-High-Definition Image Enhancement with Model-Aware Guidance CVPR 2024
Towards training digitally-tied analog blocks via hybrid gradient computation NIPS 2024
RepCNN: Micro-sized, Mighty Models for Wakeword Detection INTERSPEECH 2024
Analyzing and Improving the Training Dynamics of Diffusion Models CVPR 2024