Techniques

Vision-and-Language Pretrained Models: A Survey IJCAI 2022 Vision-Language Pretraining: Current Trends and the Future ACL 2022 Vision-Language Pre-Training for Boosting Scene Text Detectors CVPR 2022 Vision-Language Pre-Training for Multimodal Aspect-Based Sentiment Analysis ACL 2022 Vision-Language Pre-Training With Triple Contrastive Learning CVPR 2022 Vision Shared and Representation Isolated Network for Person Search IJCAI 2022 Vision Transformer With Deformable Attention CVPR 2022 Visual Attention Emerges from Recurrent Sparse Reconstruction ICML 2022 Visual Emotion Representation Learning via Emotion-Aware Pre-training IJCAI 2022 VoiceMe: Personalized voice generation in TTS Interspeech 2022 VTC-LFC: Vision Transformer Compression with Low-Frequency Components NeurIPS 2022 W2V2-Light: A Lightweight Version of Wav2vec 2.0 for Automatic Speech Recognition Interspeech 2022 Wav2vec behind the Scenes: How end2end Models learn Phonetics Interspeech 2022 WeSinger: Data-augmented Singing Voice Synthesis with Auxiliary Losses Interspeech 2022 What Can Linear Interpolation of Neural Network Loss Landscapes Tell Us? ICML 2022 What Dense Graph Do You Need for Self-Attention? ICML 2022 What to expect of hardware metric predictors in NAS AutoML 2022 When Do Flat Minima Optimizers Work? NeurIPS 2022 When Shift Operation Meets Vision Transformer: An Extremely Simple Alternative to Attention Mechanism AAAI 2022 When, where, and how to add new neurons to ANNs AutoML 2022 When, Why, and Which Pretrained GANs Are Useful? ICLR 2022 Where to Pay Attention in Sparse Training for Feature Selection? NeurIPS 2022 White-box Testing of NLP models with Mask Neuron Coverage NAACL 2022 Why Discard if You Can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis CVPR 2022 Winning the Lottery Ahead of Time: Efficient Early Network Pruning ICML 2022