SoftEDA: Rethinking Rule-Based Data Augmentation with Soft Labels
π₯ Github: https://github.com/IIPL-CAU/SoftEDA
π Paper: https://arxiv.org/pdf/2402.05591v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/cola
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/cola
@ArtificialIntelligencedl
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EasyKV
π₯ Github: https://github.com/drsy/easykv
π Paper: https://arxiv.org/pdf/2402.06262v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/webtext
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/webtext
@ArtificialIntelligencedl
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SQ-Transformer: Inducing Systematicity in Transformers by Attending to Structurally Quantized Embeddings
π₯ Github: https://github.com/jiangyctarheel/sq-transformer
π Paper: https://arxiv.org/pdf/2402.06492v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/wmt-2014
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/wmt-2014
@ArtificialIntelligencedl
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MIM-Refiner
π₯ Github: https://github.com/ml-jku/MIM-Refiner
π Paper: https://arxiv.org/pdf/2402.10093v1.pdf
π₯Datasets: https://paperswithcode.com/dataset/imagenet
β¨ Tasks: https://paperswithcode.com/task/image-clustering
@ArtificialIntelligencedl
π₯Datasets: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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TIA Toolbox
π₯ Github: https://github.com/tissueimageanalytics/tiatoolbox
π Paper: https://arxiv.org/pdf/2402.09990v1.pdf
β¨ Tasks: https://paperswithcode.com/task/whole-slide-images
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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PDD: Positional Discourse Divergence
π₯ Github: https://github.com/williamlyh/pos_div_metric
π Paper: https://arxiv.org/pdf/2402.10175v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/recipe1m-1
β¨ Tasks: https://paperswithcode.com/task/coherence-evaluation
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/recipe1m-1
@ArtificialIntelligencedl
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Visually Dehallucinative Instruction Generation: Know What You Don't Know
π₯ Github: https://github.com/ncsoft/idk
π Paper: https://arxiv.org/pdf/2402.09717v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/visual-question-answering
β¨ Tasks: https://paperswithcode.com/task/hallucination
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/visual-question-answering
@ArtificialIntelligencedl
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Energy-Time-series-anomaly-detection
π₯ Github: https://github.com/HardikPrabhu/Energy-Time-series-anomaly-detection
π Paper: https://arxiv.org/pdf/2402.14384v1.pdf
β¨ Tasks: https://paperswithcode.com/task/anomaly-detection
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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Graph Diffusion Policy Optimization
π₯ Github: https://github.com/sail-sg/gdpo
π Paper: https://arxiv.org/pdf/2402.16302v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/zinc
β¨ Tasks: https://paperswithcode.com/task/graph-generation
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/zinc
@ArtificialIntelligencedl
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DCVSMNet: Double Cost Volume Stereo Matching Network
π₯ Github: https://github.com/m2219/dcvsmnet
π Paper: https://arxiv.org/pdf/2402.16473v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/kitti
β¨ Tasks: https://paperswithcode.com/task/stereo-matching-1
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/kitti
@ArtificialIntelligencedl
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ZHEM: An Integrated Data Processing Framework for Pretraining Foundation Models
π₯ Github: https://github.com/emanual20/zhem
π Paper: https://arxiv.org/pdf/2402.16358v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/wikitext-2
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/wikitext-2
@ArtificialIntelligencedl
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Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
π₯ Github: https://github.com/naver/poc
π Paper: https://arxiv.org/pdf/2402.16392v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/cityscapes
β¨ Tasks: https://paperswithcode.com/task/segmentation
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/cityscapes
@ArtificialIntelligencedl
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RENT (Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning, ICLR 2024)
π₯ Github: https://github.com/BaeHeeSun/RENT
π Paper: https://arxiv.org/pdf/2403.02690v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/cifar-10
β¨ Tasks: https://paperswithcode.com/task/learning-with-noisy-labels
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
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Recall-Oriented-CL-Framework
π₯ Github: https://github.com/bigdata-inha/recall-oriented-cl-framework
π Paper: https://arxiv.org/pdf/2403.03082v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/cifar-10
β¨ Tasks: https://paperswithcode.com/task/continual-learning
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/cifar-10
@ArtificialIntelligencedl
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VTG-GPT
π₯ Github: https://github.com/YoucanBaby/VTG-GPT
π Paper: https://arxiv.org/pdf/2403.02076v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/activitynet-captions
β¨ Tasks: https://paperswithcode.com/task/zero-shot-moment-retrieval
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/activitynet-captions
@ArtificialIntelligencedl
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Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
π₯ Github: https://github.com/hikvision-research/3dvision
π Paper: https://arxiv.org/abs/2403.05117v1
π₯Dataset: https://paperswithcode.com/dataset/scanobjectnn
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/scanobjectnn
@ArtificialIntelligencedl
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ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions
π₯ Github: https://github.com/Traffic-X/ViT-CoMer
π Paper: https://arxiv.org/pdf/2403.07392.pdf
β¨ Tasks: https://paperswithcode.com/task/object-detection
π₯Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
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Scattered Mixture-of-Experts Implementation
π₯ Github: https://github.com/shawntan/scattermoe
π Paper: https://arxiv.org/abs/2403.08245v1
@ArtificialIntelligencedl
@ArtificialIntelligencedl
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Video Mamba Suite: State Space Model as a Versatile Alternative for Video Understanding
π₯ Github: https://github.com/opengvlab/video-mamba-suite
π Paper: https://arxiv.org/abs/2403.09626v1
π₯Dataset: https://paperswithcode.com/dataset/egoschema
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/egoschema
@ArtificialIntelligencedl
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CDGP: Automatic Cloze Distractor Generation based on Pre-trained Language Model
π₯ Github: https://github.com/andychiangsh/cdgp
π Paper: https://github.com/andychiangsh/cdgp
π₯Dataset: https://paperswithcode.com/dataset/cloth
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/cloth
@ArtificialIntelligencedl
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