Models
Datasets
Spaces
Docs
Enterprise
Pricing
Log In
Sign Up

Collections

Discover the best community collections!

Collections including paper arxiv:2105.03036

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 17
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

Paper • 2310.14566 • Published Oct 23, 2023 • 27
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 9
Conditional Diffusion Distillation

Paper • 2310.01407 • Published Oct 2, 2023 • 20

Mixture of Experts Papers

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Paper • 2401.15947 • Published Jan 29, 2024 • 53
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11, 2024 • 58
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention

Paper • 2312.07987 • Published Dec 13, 2023 • 41
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Paper • 2101.03961 • Published Jan 11, 2021 • 13

mixture-of-experts

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 7
Sparse Networks from Scratch: Faster Training without Losing Performance

Paper • 1907.04840 • Published Jul 10, 2019 • 3
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Paper • 1910.02054 • Published Oct 4, 2019 • 9
A Mixture of h-1 Heads is Better than h Heads

Paper • 2005.06537 • Published May 13, 2020 • 2

QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models

Paper • 2310.16795 • Published Oct 25, 2023 • 27
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference

Paper • 2308.12066 • Published Aug 23, 2023 • 4
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference

Paper • 2303.06182 • Published Mar 10, 2023 • 1
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate

Paper • 2112.14397 • Published Dec 29, 2021 • 1

Large-Scale Automatic Audiobook Creation

Paper • 2309.03926 • Published Sep 7, 2023 • 55
UniAudio: An Audio Foundation Model Toward Universal Audio Generation

Paper • 2310.00704 • Published Oct 1, 2023 • 21
Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts

Paper • 2309.11977 • Published Sep 21, 2023 • 2
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models

Paper • 2308.16692 • Published Aug 31, 2023 • 1

Papers - MoE - Audio

SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts

Paper • 2105.03036 • Published May 7, 2021 • 2
Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition

Paper • 2112.05820 • Published Dec 10, 2021 • 2
SpeechMoE2: Mixture-of-Experts Model with Improved Routing

Paper • 2111.11831 • Published Nov 23, 2021 • 2

there's many more on arxiv if you search for CLAP

Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation

Paper • 2211.06687 • Published Nov 12, 2022 • 5
EnCLAP: Combining Neural Audio Codec and Audio-Text Joint Embedding for Automated Audio Captioning

Paper • 2401.17690 • Published Jan 31, 2024 • 5
Amphion: An Open-Source Audio, Music and Speech Generation Toolkit

Paper • 2312.09911 • Published Dec 15, 2023 • 55
Audiobox: Unified Audio Generation with Natural Language Prompts

Paper • 2312.15821 • Published Dec 25, 2023 • 17

MoEs papers reading list

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 7
Sparse Networks from Scratch: Faster Training without Losing Performance

Paper • 1907.04840 • Published Jul 10, 2019 • 3
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Paper • 1910.02054 • Published Oct 4, 2019 • 9
A Mixture of h-1 Heads is Better than h Heads

Paper • 2005.06537 • Published May 13, 2020 • 2

Large-Scale Automatic Audiobook Creation

Paper • 2309.03926 • Published Sep 7, 2023 • 55
Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts

Paper • 2309.11977 • Published Sep 21, 2023 • 2
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models

Paper • 2308.16692 • Published Aug 31, 2023 • 1
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining

Paper • 2308.05734 • Published Aug 10, 2023 • 37

Woodpecker: Hallucination Correction for Multimodal Large Language Models

Paper • 2310.16045 • Published Oct 24, 2023 • 17
HallusionBench: You See What You Think? Or You Think What You See? An Image-Context Reasoning Benchmark Challenging for GPT-4V(ision), LLaVA-1.5, and Other Multi-modality Models

Paper • 2310.14566 • Published Oct 23, 2023 • 27
SILC: Improving Vision Language Pretraining with Self-Distillation

Paper • 2310.13355 • Published Oct 20, 2023 • 9
Conditional Diffusion Distillation

Paper • 2310.01407 • Published Oct 2, 2023 • 20

Papers - MoE - Audio

SpeechMoE: Scaling to Large Acoustic Models with Dynamic Routing Mixture of Experts

Paper • 2105.03036 • Published May 7, 2021 • 2
Building a great multi-lingual teacher with sparsely-gated mixture of experts for speech recognition

Paper • 2112.05820 • Published Dec 10, 2021 • 2
SpeechMoE2: Mixture-of-Experts Model with Improved Routing

Paper • 2111.11831 • Published Nov 23, 2021 • 2

Mixture of Experts Papers

MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Paper • 2401.15947 • Published Jan 29, 2024 • 53
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11, 2024 • 58
SwitchHead: Accelerating Transformers with Mixture-of-Experts Attention

Paper • 2312.07987 • Published Dec 13, 2023 • 41
Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Paper • 2101.03961 • Published Jan 11, 2021 • 13

there's many more on arxiv if you search for CLAP

Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation

Paper • 2211.06687 • Published Nov 12, 2022 • 5
EnCLAP: Combining Neural Audio Codec and Audio-Text Joint Embedding for Automated Audio Captioning

Paper • 2401.17690 • Published Jan 31, 2024 • 5
Amphion: An Open-Source Audio, Music and Speech Generation Toolkit

Paper • 2312.09911 • Published Dec 15, 2023 • 55
Audiobox: Unified Audio Generation with Natural Language Prompts

Paper • 2312.15821 • Published Dec 25, 2023 • 17

mixture-of-experts

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 7
Sparse Networks from Scratch: Faster Training without Losing Performance

Paper • 1907.04840 • Published Jul 10, 2019 • 3
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Paper • 1910.02054 • Published Oct 4, 2019 • 9
A Mixture of h-1 Heads is Better than h Heads

Paper • 2005.06537 • Published May 13, 2020 • 2

MoEs papers reading list

Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Paper • 1701.06538 • Published Jan 23, 2017 • 7
Sparse Networks from Scratch: Faster Training without Losing Performance

Paper • 1907.04840 • Published Jul 10, 2019 • 3
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Paper • 1910.02054 • Published Oct 4, 2019 • 9
A Mixture of h-1 Heads is Better than h Heads

Paper • 2005.06537 • Published May 13, 2020 • 2

QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models

Paper • 2310.16795 • Published Oct 25, 2023 • 27
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference

Paper • 2308.12066 • Published Aug 23, 2023 • 4
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference

Paper • 2303.06182 • Published Mar 10, 2023 • 1
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate

Paper • 2112.14397 • Published Dec 29, 2021 • 1

Large-Scale Automatic Audiobook Creation

Paper • 2309.03926 • Published Sep 7, 2023 • 55
Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts

Paper • 2309.11977 • Published Sep 21, 2023 • 2
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models

Paper • 2308.16692 • Published Aug 31, 2023 • 1
AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining

Paper • 2308.05734 • Published Aug 10, 2023 • 37

Large-Scale Automatic Audiobook Creation

Paper • 2309.03926 • Published Sep 7, 2023 • 55
UniAudio: An Audio Foundation Model Toward Universal Audio Generation

Paper • 2310.00704 • Published Oct 1, 2023 • 21
Improving Language Model-Based Zero-Shot Text-to-Speech Synthesis with Multi-Scale Acoustic Prompts

Paper • 2309.11977 • Published Sep 21, 2023 • 2
SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models

Paper • 2308.16692 • Published Aug 31, 2023 • 1

Company

TOS Privacy About Careers

Website

Models Datasets Spaces Pricing Docs