conftrace_

neural network optimization

1293 papers

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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

Debiased All-in-one Image Restoration with Task Uncertainty Regularization AAAI 2025
Optimized Gradient Clipping for Noisy Label Learning AAAI 2025
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods AAAI 2025
Learning Physics Informed Neural ODEs with Partial Measurements AAAI 2025
Stabilizing Sharpness-Aware Minimization Through A Simple Renormalization Strategy JMLR 2025
Let’s Focus on Neuron: Neuron-Level Supervised Fine-tuning for Large Language Model COLING 2025
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer ACL 2025
Enhancing Mixture of Experts with Independent and Collaborative Learning for Long-Tail Visual Recognition IJCAI 2025
From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers AAAI 2025
DFM: Differentiable Feature Matching for Anomaly Detection CVPR 2025
PMPO: Probabilistic Metric Prompt Optimization for Small and Large Language Models EMNLP 2025
LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation EMNLP 2025
Exploiting Position Information in Convolutional Kernels for Structural Re-parameterization IJCAI 2025
Device-Cloud Collaborative Correction for On-Device Recommendation IJCAI 2025
FreqMoE: Dynamic Frequency Enhancement for Neural PDE Solvers IJCAI 2025
Towards Stable and Storage-efficient Dataset Distillation: Matching Convexified Trajectory CVPR 2025
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector CVPR 2025
BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference AAAI 2025
Devil is in the Uniformity: Exploring Diverse Learners within Transformer for Image Restoration ICCV 2025
GenPTQ: Green Post-Training Quantization for Large-Scale ASR Models with Mixed-Precision Bit Allocation EMNLP 2025
Spectral Scaling Laws in Language Models: emphHow Effectively Do Feed-Forward Networks Use Their Latent Space? EMNLP 2025
GFPack++: Attention-Driven Gradient Fields for Optimizing 2D Irregular Packing ICCV 2025
Sharpness-aware Zeroth-order Optimization for Graph Transformers IJCAI 2025
A Method for Enhancing Generalization of Adam by Multiple Integrations AAAI 2025
BitNet: 1-bit Pre-training for Large Language Models JMLR 2025