Noisy Correspondence Learning with Meta Similarity Correction
π₯ Github: https://github.com/hhc1997/mscn
β© Paper: https://arxiv.org/pdf/2304.06275v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/coco
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Transfer Knowledge from Head to Tail: Uncertainty Calibration under Long-tailed Distribution
π₯ Github: https://github.com/jiahaochen1/calibration
β© Paper: https://arxiv.org/pdf/2304.06537v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/cifar-10
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Middle Spectrum Grouped Convolution (MSGC)
π₯ Github: https://github.com/hellozhuo/msgc
β© Paper: https://arxiv.org/pdf/2304.06305v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/imagenet
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Improving Segmentation of Objects with Varying Sizes in Biomedical Images using Instance-wise and Center-of-Instance Segmentation Loss Function
π₯ Github: https://github.com/brainimageanalysis/ici-loss
β© Paper: https://arxiv.org/pdf/2304.06229v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/atlas-v2-0
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Implementation for CoSDA: Continual Source-Free Domain Adaptation
π₯ Github: https://github.com/fenghz/cosda
β© Paper: https://arxiv.org/pdf/2304.06627v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/office-home
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RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception
π₯ Github: https://github.com/tumftm/radargnn
β© Paper: https://arxiv.org/pdf/2304.06547v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/nuscenes
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IDPT: Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models
π₯ Github: https://github.com/zyh16143998882/IDPT
β© Paper: https://arxiv.org/pdf/2304.07221v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/modelnet
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DCFace: Synthetic Face Generation with Dual Condition Diffusion Model
π₯ Github: https://github.com/mk-minchul/dcface
β© Paper: https://arxiv.org/pdf/2304.07060v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/ffhq
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Byte2Image
π₯ Github: https://github.com/wenyang001/byte2image
β© Paper: https://arxiv.org/pdf/2304.06983v1.pdf
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Spectral Transfer Guided Active Domain Adaptation For Thermal Imagery
π₯ Github: https://github.com/avaapm/stgada
β© Paper: https://arxiv.org/pdf/2304.07031v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/imagenet
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Decomposition Enhances Reasoning via Self-Evaluation Guided Decoding
π₯ Github: https://github.com/yuxixie/selfeval-guided-decoding
β© Paper: https://arxiv.org/pdf/2305.00633v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/commonsenseqa
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PGrad: Learning Principal Gradients For Domain Generalization
π₯ Github: https://github.com/qdata/pgrad
β© Paper: https://arxiv.org/pdf/2305.01134v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/office-home
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DiSK: Distilling Scaffolded Knowledge aka Scaffolding a Student to Instill Knowledge
π₯ Github: https://github.com/anilkagak2/DiSK_Distilling_Scaffolded_Knowledge
β© Paper: https://openreview.net/pdf?id=N4K5ck-BTT
π¨ Dataset: https://paperswithcode.com/dataset/cifar-100
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Local Topological Profile (LTP)
π₯ Github: https://github.com/j-adamczyk/ltp
β© Paper: https://arxiv.org/pdf/2305.00724v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/reddit
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TaskPrompter: Spatial-Channel Multi-Task Prompting for Dense Scene Understanding
π₯ Github: https://github.com/prismformore/multi-task-transformer
β© Paper: https://openreview.net/pdf?id=-CwPopPJda
π¨ Dataset: https://paperswithcode.com/dataset/cityscapes-3d
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Discover and Cure: Concept-aware Mitigation of Spurious Correlation
π₯ Github: https://github.com/wuyxin/disc
β© Paper: https://arxiv.org/pdf/2305.00650v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/metashift
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Shotgun crystal structure prediction using machine-learned formation energies
π₯ Github: https://github.com/yoshida-lab/XenonPy/blob/master/samples/CSP_with_element_substitution.ipynb
β© Paper: https://arxiv.org/pdf/2305.02158v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/materials-project
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Multimodal Data Augmentation for Image Captioning using Diffusion Models
π₯ Github: https://github.com/xiaochr/multimodal-augmentation-image-captioning
β© Paper: https://arxiv.org/pdf/2305.01855v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/coco
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Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models
π₯ Github: https://github.com/daochenzha/neuroshard
β© Paper: https://arxiv.org/pdf/2305.01868v1.pdf
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Towards Being Parameter-Efficient: A Stratified Sparsely Activated Transformer with Dynamic Capacity
π₯ Github: https://github.com/fe1ixxu/stratified_mixture_of_experts
β© Paper: https://arxiv.org/pdf/2305.02176v1.pdf
π¨ Dataset: https://paperswithcode.com/dataset/flores-200
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