huang-research-group Goto Github PK
Name: Huang Research Group
Type: Organization
Name: Huang Research Group
Type: Organization
Implementation for paper "AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering" (https://arxiv.org/abs/2311.14906)
Implementation for ICLR 2023 paper "Towards the Generalization of Contrastive Self-Supervised Learning" (https://arxiv.org/abs/2111.00743)
Implementation for NeurIPS 2023 paper "DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank Correlation" (https://arxiv.org/abs/2307.15317)
Implementation for NeurIPS 2023 paper "FD-Align: Feature Discrimination Alignment for Fine-tuning Pre-Trained Models in Few-Shot Learning" (https://arxiv.org/abs/2310.15105)
Implementation for paper "Few-Shot Learning with Global Class Representations" (https://arxiv.org/abs/1908.05257)
About Implementation for paper "InstructionGPT-4: A 200-Instruction Paradigm for Fine-Tuning MiniGPT-4" (https://arxiv.org/abs/2308.12067)
Implementation for NeurIPS 2020 paper "Locally Differentially Private (Contextual) Bandits Learning" (https://arxiv.org/abs/2006.00701)
Official implementation of Matrix Variational Masked Autoencoder (M-MAE) for paper "Information Flow in Self-Supervised Learning" (https://arxiv.org/abs/2309.17281)
Code for https://arxiv.org/abs/2401.17139
Official implementation of paper "Matrix Information Theory for Self-supervised Learning" (https://arxiv.org/abs/2305.17326)
Implementation for ICLR 2023 paper “Your Contrastive Learning is Secretly Doing Stochastic Neighbor Embedding” (https://arxiv.org/abs/2205.14814)
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.