Dynamic Low-Rank Instance Adaptation for Universal Neural Image Compression
🖥 Github: https://github.com/llvy21/duic
📕 Paper: https://arxiv.org/pdf/2308.07733v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/pixel-art
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/pixel-art
@ArtificialIntelligencedl
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LibCity
🖥 Github: https://github.com/libcity/bigscity-libcity
📕 Paper: https://arxiv.org/pdf/2308.12899v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/taxibj
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/taxibj
@ArtificialIntelligencedl
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S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
🖥 Github: https://github.com/sheng-eatamath/s3a
📕 Paper: https://arxiv.org/pdf/2308.12960v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cifar-100
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/cifar-100
@ArtificialIntelligencedl
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🐕 Reprogramming Under Constraints
🖥 Github: https://github.com/landskape-ai/reprogram_lt
📕 Paper: https://arxiv.org/pdf/2308.14969v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
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git clone https://github.com/FireFYF/ScrollNet.git
cd ScrollNet
🔥 Dataset: https://paperswithcode.com/dataset/tiny-imagenet
@ArtificialIntelligencedl
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Read-only-Prompt-Optimization for Vision-Language Few-shot Learning
🖥 Github: https://github.com/mlvlab/rpo
📕 Paper: https://arxiv.org/pdf/2308.14960v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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imbalanced-DL: Deep Imbalanced Learning in Python
🖥 Github: https://github.com/ntucllab/imbalanced-dl
📕 Paper: https://arxiv.org/pdf/2308.15457v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
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🫧 xasp
🖥 Github: https://github.com/alviano/xasp
📕 Paper: https://arxiv.org/pdf/2308.15879v1.pdf
@ArtificialIntelligencedl
$ poetry install
$ poetry shell@ArtificialIntelligencedl
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SyntheWorld
🖥 Github: https://github.com/JTRNEO/SyntheWorld
📕 Paper: https://arxiv.org/pdf/2309.01907v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/loveda
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/loveda
@ArtificialIntelligencedl
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AnthroNet: Conditional Generation of Humans via Anthropometrics
🖥 Github: https://github.com/Unity-Technologies/AnthroNet
📕 Paper: https://arxiv.org/pdf/2309.03812v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/unity-synthetic-humans
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/unity-synthetic-humans
@ArtificialIntelligencedl
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Context-Aware 3D Object Localization from Single Calibrated Images: A Study of Basketballs
🖥 Github: https://github.com/gabriel-vanzandycke/deepsport
📕 Paper: https://arxiv.org/pdf/2309.03640v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/deepsport-dataset
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/deepsport-dataset
@ArtificialIntelligencedl
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ResFields: Residual Neural Fields for Spatiotemporal Signals
🖥 Github: https://github.com/markomih/ResFields
📕 Paper: https://arxiv.org/pdf/2309.03160.pdf
🔥 Dataset: https://paperswithcode.com/dataset/nerf
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/nerf
@ArtificialIntelligencedl
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LLM_Fine_Tuning_Molecular_Properties
🖥 Github: https://github.com/SylwiaNowakowska/LLM_Fine_Tuning_Molecular_Properties
📕 Paper: https://chemrxiv.org/engage/api-gateway/chemrxiv/assets/orp/resource/item/65030b55b338ec988a780108/original/chem-ber-ta-2-fine-tuning-for-molecule-s-hiv-replication-inhibition-prediction.pdf
🔥 Dataset: https://paperswithcode.com/dataset/moleculenet
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/moleculenet
@ArtificialIntelligencedl
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LLMKE
🖥 Github: https://github.com/bohuizhang/llmke
📕 Paper: https://arxiv.org/pdf/2309.08491v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/lama
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/lama
@ArtificialIntelligencedl
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Distillation-in-dg
🖥 Github: https://github.com/vorobeevich/distillation-in-dg
📕 Paper: https://arxiv.org/pdf/2309.11446v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/office-home
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/office-home
@ArtificialIntelligencedl
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InstructionERC
🖥 Github: https://github.com/LIN-SHANG/InstructERC
📕 Paper: https://arxiv.org/pdf/2309.11911v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/iemocap
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/iemocap
@ArtificialIntelligencedl
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LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models
🖥 Github: https://github.com/dvlab-research/longlora
📕 Paper: https://arxiv.org/pdf/2309.12307v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/pg-19
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/pg-19
@ArtificialIntelligencedl
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Privacy-preserving in-context learning with differentially private few-shot generation
🖥 Github: https://github.com/microsoft/dp-few-shot-generation
📕 Paper: https://arxiv.org/pdf/2309.11765v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/ag-news
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/ag-news
@ArtificialIntelligencedl
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Attack-Bard
🖥 Github: https://github.com/thu-ml/attack-bard
📕 Paper: https://arxiv.org/pdf/2309.11751v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/ffhq
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/ffhq
@ArtificialIntelligencedl
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Class Incremental Learning via Likelihood Ratio Based Task Prediction
🖥 Github: https://github.com/linhaowei1/tplr
📕 Paper: https://arxiv.org/pdf/2309.15048v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
🔥 Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
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