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

Reconcile Gradient Modulation for Harmony Multimodal Learning AAAI 2026

SpikingIR: A Novel Converted Spiking Neural Network for Efficient Image Restoration AAAI 2026

Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration EACL 2026

DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes AAAI 2026

Learnable Permutation for Structured Sparsity on Transformer Models AAAI 2026

Temporal Dynamics Enhancer for Directly Trained Spiking Object Detectors AAAI 2026

Efficient Vision Transformers via Token Merging with Head-wise Attention Correction WACV 2026

Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning EACL 2026

Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers AAAI 2026

InfoQ: Mixed-Precision Quantization via Global Information Flow AAAI 2026

Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models AAAI 2026

On the Dataless Training of Neural Networks AAAI 2026

ParaDySe: A Parallel Strategy Switching Framework for Dynamic Sequences in Transformer-based Large Language Models AAAI 2026

APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract) AAAI 2026

How to Design and Train Your Implicit Neural Representation for Video Compression WACV 2026

ODEt(ODEl): Shortcutting the Time and the Length in Diffusion and Flow Models for Faster Sampling WACV 2026

AdaptViG: Adaptive Vision GNN with Exponential Decay Gating WACV 2026

One-Cycle Structured Pruning via Stability-Driven Subnetwork Search WACV 2026

Acceleration of Backpropagation in Linear Layers of Transformer Models Based on Gradient Structure EACL 2026

Domain-Specific Quality Estimation for Machine Translation in Low-Resource Scenarios EACL 2026

Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective AAAI 2026

Distillation Dynamics: Towards Understanding Feature-Based Distillation in Vision Transformers AAAI 2026

FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models AAAI 2026

DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic AAAI 2026

Neural Video Compression with Reference Hierarchy AAAI 2026