Hybrid and Collaborative Passage Reranking
🖥 Github: https://github.com/zmzhang2000/hybrank
⏩ Paper: https://arxiv.org/pdf/2305.09313v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/natural-questions
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Dynamic Sparse Training with Structured Sparsity
🖥 Github: https://github.com/calgaryml/condensed-sparsity
⏩ Paper: https://arxiv.org/pdf/2305.02299v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/cifar-10
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Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow
🖥 Github: https://github.com/gudovskiy/flowenedet
⏩ Paper: https://arxiv.org/pdf/2305.09610v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/coco
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Online Continual Learning Without the Storage Constraint
🖥 Github: https://github.com/drimpossible/acm
⏩ Paper: https://arxiv.org/pdf/2305.09253v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/yfcc100m
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Pre-Training to Learn in Context
🖥 Github: https://github.com/thu-coai/picl
⏩ Paper: https://arxiv.org/pdf/2305.09137v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/sst
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LGTM
🖥 Github: https://github.com/twinkle0331/lgtm
⏩ Paper: https://arxiv.org/pdf/2305.09651v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/sst
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SSSegmenation
🖥 Github: https://github.com/segmentationblwx/sssegmentation
⏩ Paper: https://arxiv.org/pdf/2305.17091v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/cityscapes
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Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets
🖥 Github: https://github.com/cownowan/dass
⏩ Paper: https://arxiv.org/pdf/2305.16948v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/cub-200-2011
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Occ-BEV: Multi-Camera Unified Pre-training via 3D Scene Reconstruction
🖥 Github: https://github.com/chaytonmin/occ-bev
⏩ Paper: https://arxiv.org/pdf/2305.18829v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/imagenet
@ArtificialIntelligencedl
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Jax OffBench
🖥 Github: https://github.com/sail-sg/offbench
⏩ Paper: https://arxiv.org/pdf/2306.00972v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/d4rl
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(Almost) Provable Error Bounds Under Distribution Shift via Disagreement Discrepancy
🖥 Github: https://github.com/erosenfeld/disagree_discrep
⏩ Paper: https://arxiv.org/pdf/2306.00312v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/cifar-10
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BUOL: A Bottom-Up Framework with Occupancy-aware Lifting for Panoptic 3D Scene Reconstruction From A Single Image
🖥 Github: https://github.com/chtsy/buol
⏩ Paper: https://arxiv.org/pdf/2306.00965v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/matterport3d
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Asymmetric VQGAN
🖥 Github: https://github.com/buxiangzhiren/asymmetric_vqgan
⏩ Paper: https://arxiv.org/pdf/2306.04632v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/imagenet
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GP-UNIT - Official PyTorch Implementation
🖥 Github: https://github.com/williamyang1991/gp-unit
⏩ Paper: https://arxiv.org/pdf/2306.04636v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/celeba-hq
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Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement
at 100k Steps-Per-Second
🖥 Github: https://github.com/facebookresearch/galactic
⏩ Paper: https://arxiv.org/pdf/2306.07552v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/vizdoom
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at 100k Steps-Per-Second
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Semi-supervised learning made simple with self-supervised clustering [CVPR 2023]
🖥 Github: https://github.com/pietroastolfi/suave-daino
⏩ Paper: https://arxiv.org/pdf/2306.07483v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/imagenet
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Semi-supervised learning made simple with self-supervised clustering [CVPR 2023]
🖥 Github: https://github.com/Ruixinhua/ExplainableNRS
⏩ Paper: https://arxiv.org/pdf/2306.07506v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/mind
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LabelBench: A Comprehensive Framework for Benchmarking Label-Efficient Learning
🖥 Github: https://github.com/efficienttraining/labelbench
⏩ Paper: https://arxiv.org/pdf/2306.09910v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/cifar-10
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CBOGlobalConvergenceAnalysis
🖥 Github: https://github.com/efficienttraining/labelbench
⏩ Paper: https://arxiv.org/pdf/2306.09778v1.pdf
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