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a-roadmap-for-transfer-learning

aaai17-cdq

Code release of "Collective Deep Quantization of Efficient Cross-modal Retrieval" (AAAI 17)

anomaly-transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

autoformer

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

autotimes

Official implementation for "AutoTimes: Autoregressive Time Series Forecasters via Large Language Models"

batch-spectral-penalization

Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)

batch-spectral-shrinkage

Code release for Catastrophic Forgetting Meets Negative Transfer: Batch Spectral Shrinkage for Safe Transfer Learning (NeurIPS 2019)

calibrated-multiple-uncertainties

Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)

cdan

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

clipood

About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864

contextwm

Code release for "Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning" (NeurIPS 2023), https://arxiv.org/abs/2305.18499

corrformer

About code release of "Interpretable Weather Forecasting for Worldwide Stations with a Unified Deep Model", Nature Machine Intelligence, 2023. https://www.nature.com/articles/s42256-023-00667-9

cotuning

Code release for NeurIPS 2020 paper "Co-Tuning for Transfer Learning"

cvpr17-dvsq

Code release of "Deep Visual-Semantic Quantization of Efficient Image Retrieval" (CVPR 17)

dan

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

dcn

Deep Calibration Network

debiased-self-training

Code release of paper Debiased Self-Training for Semi-Supervised Learning (NeurIPS 2022 Oral)

decoupled-adaptation-for-cross-domain-object-detection

Code for ICLR2022 Decoupled Adaptation for Cross-Domain Object Detection (D-adapt) https://arxiv.org/abs/2110.02578

deep-embedded-validation

Code release for Towards Accurate Model Selection in Deep Unsupervised Domain Adaptation (ICML 2019)

depyf

depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.

domain-adaptation-regression

Code release for Representation Subspace Distance for Domain Adaptation Regression (ICML 2021)

dph

Code release for "Deep Priority Hashing" (ACMMM 2018)

etn

Code released for CVPR 2019 paper "Learning to Transfer Examples for Partial Domain Adaptation"

few-shot

A lightweight library that implements state-of-the-art few-shot learning algorithms.

flowformer

About Code release for "Flowformer: Linearizing Transformers with Conservation Flows" (ICML 2022), https://arxiv.org/pdf/2202.06258.pdf

forkmerge

Code release of paper "ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning" (NeurIPS 2023)

hash-caffe

Code release of "Deep Hashing Network for Efficient Similarity Retrieval" (AAAI 16)

hashgan

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

hashnet

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

itransformer

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah