Introspective Distillation (IntroD)
This repository is the Pytorch implementation of our paper "Introspective Distillation for Robust Question Answering" in NeurIPS 2021. The code will be released before the conference.
[NeurIPS 2021] Introspective Distillation for Robust Question Answering
Overview
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
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MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
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Official code for UnICORNN (ICML 2021)
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This repository contains code for the paper "Disentangling Label Distribution for Long-tailed Visual Recognition", published at CVPR' 2021
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A project to make Amazon Echo respond to sign language using your webcam
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DeepLM: Large-scale Nonlinear Least Squares on Deep Learning Frameworks using Stochastic Domain Decomposition (CVPR 2021)
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Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.
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The implementation of the lifelong infinite mixture model
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Supplementary materials for ISMIR 2021 LBD paper "Evaluation of Latent Space Disentanglement in the Presence of Interdependent Attributes"
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A PyTorch implementation of the paper "Semantic Image Synthesis via Adversarial Learning" in ICCV 2017
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Code for DeepCurrents: Learning Implicit Representations of Shapes with Boundaries
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Revisiting Global Statistics Aggregation for Improving Image Restoration
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A modular PyTorch library for optical flow estimation using neural networks
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An efficient framework for reinforcement learning.
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Empower Sequence Labeling with Task-Aware Language Model
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Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".
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Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data - Official PyTorch Implementation (CVPR 2022)
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