conftrace_

model training

145 papers

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Co-occurring keywords · papers mentioning both

large language model (28) neural network optimization (10) federated learning (9) language model (8) neural network (8) model compression (8) deep neural network (7) distributed learning (7) representation learning (7) differential privacy (7)

Papers

SEPARATE: A Simple Low-rank Projection for Gradient Compression in Modern Large-scale Model Training Process ICLR 2025 SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse NAACL 2025 STAFF: Speculative Coreset Selection for Task-Specific Fine-tuning ICLR 2025 SWE-Dev: Building Software Engineering Agents with Training and Inference Scaling ACL 2025 SWIFT: A Scalable Lightweight Infrastructure for Fine-Tuning AAAI 2025 Task Configuration Impacts Annotation Quality and Model Training Performance in Crowdsourced Image Segmentation WACV 2025 The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training AAAI 2025 Training compute-optimal transformer encoder models EMNLP 2025 Transformers without Normalization CVPR 2025 Understanding Silent Data Corruption in LLM Training ACL 2025 WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training OSDI 2025 A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems EMNLP 2024 An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024 Banded Square Root Matrix Factorization for Differentially Private Model Training NeurIPS 2024 BranchNorm: Robustly Scaling Extremely Deep Transformers ACL 2024 Can Active Label Correction Improve LLM-based Modular AI Systems? EMNLP 2024 Constant Acceleration Flow NeurIPS 2024 Data Attribution for Text-to-Image Models by Unlearning Synthesized Images NeurIPS 2024 Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum NeurIPS 2024 Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning AAAI 2024 Effective Data Distillation for Tabular Datasets (Student Abstract) AAAI 2024 Efficiency for Free: Ideal Data Are Transportable Representations NeurIPS 2024 EvolveDirector: Approaching Advanced Text-to-Image Generation with Large Vision-Language Models NeurIPS 2024 Exponential Quantum Communication Advantage in Distributed Inference and Learning NeurIPS 2024 From Complex to Simple: Enhancing Multi-Constraint Complex Instruction Following Ability of Large Language Models EMNLP 2024