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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π8β€2π₯2π₯°1
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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π₯10β€2π1
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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β€9π₯3π1
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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π8β€3π₯3
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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π9β€4π₯°1
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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β€10π₯2π1π₯°1
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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π11β€2π₯2
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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π8π₯4β€1
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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π₯8π5β€1
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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β€7π5π₯1
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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π8β€2π₯1
[CVPR 2024] Diversity-aware Channel Pruning for StyleGAN Compression
π₯ Github: https://github.com/jiwoogit/dcp-gan
π Paper: https://arxiv.org/pdf/2403.13548v1.pdf
βοΈ Tasks: https://paperswithcode.com/task/image-generation
π₯Dataset: https://paperswithcode.com/dataset/ffhq
@ArtificialIntelligencedl
βοΈ Tasks: https://paperswithcode.com/task/image-generation
π₯Dataset: https://paperswithcode.com/dataset/ffhq
@ArtificialIntelligencedl
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π9β€3π1
H-SAM
π₯ Github: https://github.com/cccccczh404/h-sam
π Paper: https://arxiv.org/pdf/2403.18271v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/promise12
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/promise12
@ArtificialIntelligencedl
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β€8π₯4π3
πskscope: Fast Sparse-Constraint Optimization
π₯ Github: https://github.com/abess-team/skscope
π Paper: https://arxiv.org/abs/2403.18540v1
π₯Dataset: skscope.readthedocs.io
Topics
@ArtificialIntelligencedl
π₯Dataset: skscope.readthedocs.io
Topics
@ArtificialIntelligencedl
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π4β€3π₯2
SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations
π₯ Github: https://github.com/divelab/AIRS
π Paper: https://arxiv.org/abs/2403.19507v1
π₯Project: www.air4.science/
Resources
@ArtificialIntelligencedl
π₯Project: www.air4.science/
Resources
@ArtificialIntelligencedl
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π8π₯2β€1
Long-Form Factuality in Large Language Models
π₯ Github: https://github.com/google-deepmind/long-form-factuality
π Paper: https://arxiv.org/pdf/2403.18802v1.pdf
π₯Dataset: https://paperswithcode.com/dataset/truthfulqa
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/truthfulqa
@ArtificialIntelligencedl
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π10β€2π₯2
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent
π₯ Github: https://github.com/thudm/autowebglm
π Paper: https://arxiv.org/abs/2404.03648v1
π₯Dataset: https://paperswithcode.com/dataset/mind2web
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/mind2web
@ArtificialIntelligencedl
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π6β€3π₯2
Forwarded from ΠΠ½Π°Π»ΠΈΠ· Π΄Π°Π½Π½ΡΡ
(Data analysis)
π Visualizing Attention, a Transformer's Heart
ΠΠ½ΠΈΠΌΠ°Π½ΠΈΠ΅ - ΠΊΠ»ΡΡΠ΅Π²ΠΎΠΉ ΠΌΠ΅Ρ Π°Π½ΠΈΠ·ΠΌ Π² ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ΅ΡΠ°Ρ ΠΈ LLM.
ΠΠΎΠ²ΡΠΉ ΠΊΡΡΡΠΎΠΉ ΠΈ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΡΠΉ ΡΠ°Π·Π±ΠΎΡ ΠΎΡ 3Blue1Brown.
βͺ ΠΠΈΠ΄Π΅ΠΎ
@data_analysis_ml
ΠΠ½ΠΈΠΌΠ°Π½ΠΈΠ΅ - ΠΊΠ»ΡΡΠ΅Π²ΠΎΠΉ ΠΌΠ΅Ρ Π°Π½ΠΈΠ·ΠΌ Π² ΡΡΠ°Π½ΡΡΠΎΡΠΌΠ΅ΡΠ°Ρ ΠΈ LLM.
ΠΠΎΠ²ΡΠΉ ΠΊΡΡΡΠΎΠΉ ΠΈ ΠΏΠΎΠ΄ΡΠΎΠ±Π½ΡΠΉ ΡΠ°Π·Π±ΠΎΡ ΠΎΡ 3Blue1Brown.
βͺ ΠΠΈΠ΄Π΅ΠΎ
@data_analysis_ml
β€8π₯4π2
Dynamic Prompt Optimizing for Text-to-Image Generation
π₯ Github: https://github.com/mowenyii/pae
π Paper: https://arxiv.org/abs/2404.04095v1
π₯Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
π₯Dataset: https://paperswithcode.com/dataset/coco
@ArtificialIntelligencedl
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π8π₯3β€2
Mixtral 8x22B weights are now available on πΆ
@TheRealDagsHub
π¦model: https://dagshub.com/MistralAI/Mixtral-8x22B-v0.1
πpage: https://mistral.ai
@ArtificialIntelligencedl
@TheRealDagsHub
π¦model: https://dagshub.com/MistralAI/Mixtral-8x22B-v0.1
πpage: https://mistral.ai
@ArtificialIntelligencedl
π11β€3π₯3