conftrace_

model training

137 papers

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large language model (13587) neural network optimization (1293) neural network (6616) model compression (3302) federated learning (1333) language model (4599) deep neural network (1803) differential privacy (1016) neural network training (309) representation learning (6206)

Papers

LongSafety: Enhance Safety for Long-Context LLMs ACL 2025
SWIFT: A Scalable Lightweight Infrastructure for Fine-Tuning AAAI 2025
EFTViT: Efficient Federated Training of Vision Transformers with Masked Images on Resource-Constrained Clients ICCV 2025
SimSMoE: Toward Efficient Training Mixture of Experts via Solving Representational Collapse NAACL 2025
Light-R1: Curriculum SFT, DPO and RL for Long COT from Scratch and Beyond ACL 2025
I Prefer Not to Say: Protecting User Consent in Models with Optional Personal Data AAAI 2024
Exponential Quantum Communication Advantage in Distributed Inference and Learning NIPS 2024
Memory-Efficient LLM Training with Online Subspace Descent NIPS 2024
OLMo: Accelerating the Science of Language Models ACL 2024
Efficiency for Free: Ideal Data Are Transportable Representations NIPS 2024
Video-Language Understanding: A Survey from Model Architecture, Model Training, and Data Perspectives ACL 2024
Effective Data Distillation for Tabular Datasets (Student Abstract) AAAI 2024
LocMoE: A Low-overhead MoE for Large Language Model Training IJCAI 2024
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning AAAI 2024
Unveiling the Role of Pretraining in Direct Speech Translation EMNLP 2024
Optimistic Verifiable Training by Controlling Hardware Nondeterminism NIPS 2024
What Matters in Training a GPT4-Style Language Model with Multimodal Inputs? NAACL 2024
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models CVPR 2024
Pipeline Parallelism with Controllable Memory NIPS 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters NIPS 2024
Constant Acceleration Flow NIPS 2024
Data Attribution for Text-to-Image Models by Unlearning Synthesized Images NIPS 2024
Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets NIPS 2024
Banded Square Root Matrix Factorization for Differentially Private Model Training NIPS 2024