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Liang137/FlatZero/svm_logreg/logreg.py 3ebcc930731af124 |
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| AI "News" Content Farms Are Easy to Make and Hard to Detect: A Case Study in Italian |
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| Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models |
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| Noise Stability Optimization for Finding Flat Minima: A Hessian-based Regularization Approach |
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| Table Retrieval May Not Necessitate Table-specific Model Design |
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| Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models |
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etetteh/ood_gen-chest_xray/chest.py 5efda4073dec67aa |
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| Multi-Domain Balanced Sampling Improves Out-of-Distribution Generalization of Chest X-ray Pathology Prediction Models |
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etetteh/OoD_Gen-Chest_Xray/chest.py 9becd36f7438299d |
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| Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence |
1 Nov 2021 |
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| Object-Aware Regularization for Addressing Causal Confusion in Imitation Learning |
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| Adversarial Retriever-Ranker for dense text retrieval |
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microsoft/AR2/AR2/model/models.py 1df81ea9d2da7b70 |
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| Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering |
9 Sep 2021 |
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| BOBCAT: Bilevel Optimization-Based Computerized Adaptive Testing |
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| On the Generative Utility of Cyclic Conditionals |
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changliu00/cygen/main_image.py 3bca7eb82cff3d2d |
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| Variational multiple shooting for Bayesian ODEs with Gaussian processes |
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| DouZero: Mastering DouDizhu with Self-Play Deep Reinforcement Learning |
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| Materials Representation and Transfer Learning for Multi-Property Prediction |
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| Transformer-based Conditional Variational Autoencoder for Controllable Story Generation |
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| Knowledge Distillation for Multi-task Learning |
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| Neural Jump Ordinary Differential Equations: Consistent Continuous-Time Prediction and Filtering |
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emorymlip/cot-flow/evaluateTabularOTflowCond.py 9c917e40239330dc |
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EmoryMLIP/OT-Flow/trainToyOTflow.py fa06178561e307d5 |
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| AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing |
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| End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection |
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mileyan/pseudo-LiDAR_e2e/PIXOR/train_pixor_e2e.py 0cdfd9167825b209 |
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tsunghan-mama/RandLA-Net-pytorch/network/loss_func.py 53945af353c77c7d |
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| Truth or Backpropaganda? An Empirical Investigation of Deep Learning Theory |
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| Dynamically Fused Graph Network for Multi-hop Reasoning |
16 May 2019 |
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| Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning |
3 Apr 2019 |
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| PIXOR: Real-time 3D Object Detection from Point Clouds |
17 Feb 2019 |
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| Where are the Blobs: Counting by Localization with Point Supervision |
25 Jul 2018 |
ElementAI/LCFCN/lcfcn/lcfcn_loss.py 2da876cd325bf204 |
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