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

Temporal Dynamics Enhancer for Directly Trained Spiking Object Detectors AAAI 2026
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning EACL 2026
Specification-Guided Reinforcement Learning AAAI 2026
Feedback Alignment Meets Low-Rank Manifolds: A Structured Recipe for Local Learning WACV 2026
AdaptViG: Adaptive Vision GNN with Exponential Decay Gating WACV 2026
Steering Pretrained Drafters During Speculative Decoding AAAI 2026
One-Cycle Structured Pruning via Stability-Driven Subnetwork Search WACV 2026
FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models AAAI 2026
ParaDySe: A Parallel Strategy Switching Framework for Dynamic Sequences in Transformer-based Large Language Models AAAI 2026
SHA256 at SemEval-2025 Task 4: Selective Amnesia – Constrained Unlearning for Large Language Models via Knowledge Isolation ACL 2025
Derivational Probing: Unveiling the Layer-wise Derivation of Syntactic Structures in Neural Language Models ACL 2025
ShortGPT: Layers in Large Language Models are More Redundant Than You Expect ACL 2025
Low-Rank Interconnected Adaptation across Layers ACL 2025
A Semantic-Aware Layer-Freezing Approach to Computation-Efficient Fine-Tuning of Language Models ACL 2025
Variable Layerwise Quantization: A Simple and Effective Approach to Quantize LLMs ACL 2025
ConKE: Conceptualization-Augmented Knowledge Editing in Large Language Models for Commonsense Reasoning ACL 2025
Parameter-Efficient Fine-Tuning via Circular Convolution ACL 2025
One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models ACL 2025
Revisiting Weak-to-Strong Generalization in Theory and Practice: Reverse KL vs. Forward KL ACL 2025
Run LoRA Run: Faster and Lighter LoRA Implementations ACL 2025
LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion ACL 2025
Neural Parameter Search for Slimmer Fine-Tuned Models and Better Transfer ACL 2025
StitchLLM: Serving LLMs, One Block at a Time ACL 2025
Better Embeddings with Coupled Adam ACL 2025
Inner Thinking Transformer: Leveraging Dynamic Depth Scaling to Foster Adaptive Internal Thinking ACL 2025