Alternatives and similar repositories for AutoLossRelease

Users that are interested in AutoLossRelease are comparing it to the libraries listed below

• VITA-Group / MAD
  [ICLR 2020] Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma, "I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifie…
  ☆20Updated 3 years ago
• Confusezius / CVPR2020_PADS
  (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …
  ☆61Updated 5 years ago
• XinbangZhang / DATA-NAS
  Codes for DATA: Differentiable ArchiTecture Approximation.
  ☆11Updated 4 years ago
• jwyang / C3Net.pytorch
  Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"
  ☆41Updated 5 years ago
• olivesgatech / TA3N
  [ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)
  ☆45Updated 8 months ago
• Shengcao-Cao / ESNAC
  Learnable Embedding Space for Efficient Neural Architecture Compression
  ☆29Updated 6 years ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆34Updated 5 years ago
• TomVeniat / bsn
  Implementation of the Budgeted Super Networks
  ☆25Updated 6 years ago
• joe-siyuan-qiao / NeuralRejuvenation-CVPR19
  Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19
  ☆48Updated 6 years ago
• caiqi / Joint-Contrastive-Learning
  ☆42Updated 4 years ago
• TheShadow29 / visual-commonsense-pytorch
  For visual commonsense model
  ☆34Updated 6 years ago
• princeton-vl / selfstudy
  Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
  ☆60Updated last year
• rmlin / CoMHE
  Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.
  ☆24Updated 5 years ago
• Caoang327 / vis_det
  Code of "Visualizing and Understanding Object Detecor"
  ☆20Updated 4 years ago
• yyuanad / MAAN
  Code for the paper "Marginalized Average Attentional Network for Weakly-Supervised Learning" (ICLR 2019)
  ☆34Updated 6 years ago
• ruotianluo / rtutils
  ☆17Updated last year
• neuroailab / LocalAggregation
  Tensorflow implementation for "Local Aggregation for Unsupervised Learning of Visual Embeddings"
  ☆59Updated 4 years ago
• PerdonLiu / CSE-Autoloss
  Seach Losses of our paper 'Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search', accepted by ICLR 2021.
  ☆56Updated 3 years ago
• jozhang97 / side-tuning
  sidetuning.berkeley.edu
  ☆71Updated 2 years ago
• bl0 / PIC
  Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020
  ☆52Updated 4 years ago
• yikang-li / PasteGAN
  An pytorch implementation of our NeurIPS paper of PasteGAN: A Semi-Parametric Method to Generate Image from Scene Graph
  ☆53Updated 2 years ago
• ucbdrive / tafe-net
  Code for TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning (CVPR 2019)
  ☆56Updated 5 years ago
• guoyongcs / CNAS
  Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
  ☆16Updated last year
• ashaw596 / meta_architecture_search
  ☆21Updated 5 years ago
• facebookresearch / image-to-set
  The project is about predicting sets (of classes) from images.
  ☆23Updated 3 years ago
• alexsax / taskonomy-sample-model-1
  Model, selected at random, from the training set of the paper "Taskonomy: Disentangling Task Transfer Learning"
  ☆50Updated 6 years ago
• ceciliaresearch / four_things_batch_norm
  ☆20Updated 5 years ago
• microsoft / VisionLongformerForObjectDetection
  Vision Longformer For Object Detection
  ☆34Updated 4 years ago
• TengdaHan / ShuffleBN
  A ShuffleBatchNorm layer to shuffle BatchNorm statistics across multiple GPUs
  ☆56Updated 3 years ago
• btma48 / AutoLA
  Code of our Neurips2020 paper "Auto Learning Attention", coming soon
  ☆22Updated 4 years ago