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Papers
PICSR: Prototype-Informed Cross-Silo Router for Federated Learning (Student Abstract)
AAAI 2024
Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity
CVPR 2024
Pushing Mixture of Experts to the Limit: Extremely Parameter Efficient MoE for Instruction Tuning
ICLR 2024
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
NeurIPS 2024
SAML: Speaker Adaptive Mixture of LoRA Experts for End-to-End ASR
Interspeech 2024
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models
EMNLP 2024
Scaling Laws for Fine-Grained Mixture of Experts
ICML 2024
Scaling physics-informed hard constraints with mixture-of-experts
ICLR 2024
SciMind: A Multimodal Mixture-of-Experts Model for Advancing Pharmaceutical Sciences
ACL 2024
SC-MoE: Switch Conformer Mixture of Experts for Unified Streaming and Non-streaming Code-Switching ASR
Interspeech 2024
Searching for Efficient Linear Layers over a Continuous Space of Structured Matrices
NeurIPS 2024
Sigmoid Gating is More Sample Efficient than Softmax Gating in Mixture of Experts
NeurIPS 2024
Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning
CoRL 2024
Sparse MoE with Language Guided Routing for Multilingual Machine Translation
ICLR 2024
Spiking Transformer with Experts Mixture
NeurIPS 2024
Statistical Perspective of Top-K Sparse Softmax Gating Mixture of Experts
ICLR 2024
SwapMoE: Serving Off-the-shelf MoE-based Large Language Models with Tunable Memory Budget
ACL 2024
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention
NeurIPS 2024
Task-Customized Mixture of Adapters for General Image Fusion
CVPR 2024
TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts
ICLR 2024
Toward Efficient Inference for Mixture of Experts
NeurIPS 2024
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
AISTATS 2024
Towards One-to-Many Visual Question Answering
EMNLP 2024
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner
NeurIPS 2024
Turn Waste into Worth: Rectifying Top-k Router of MoE
EMNLP 2024