Techniques

HAWQ-V3: Dyadic Neural Network Quantization ICML 2021 HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization EMNLP 2021 HetSeq: Distributed GPU Training on Heterogeneous Infrastructure AAAI 2021 Hierarchical Coherence Modeling for Document Quality Assessment AAAI 2021 High-Capacity Expert Binary Networks ICLR 2021 High-Performance Large-Scale Image Recognition Without Normalization ICML 2021 HMM-Free Encoder Pre-Training for Streaming RNN Transducer Interspeech 2021 HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem AAAI 2021 HoHoNet: 360 Indoor Holistic Understanding With Latent Horizontal Features CVPR 2021 Holistic Filter Pruning for Efficient Deep Neural Networks WACV 2021 Hopfield Networks is All You Need ICLR 2021 How could Neural Networks understand Programs? ICML 2021 How Do Adam and Training Strategies Help BNNs Optimization ICML 2021 How does a Neural Network's Architecture Impact its Robustness to Noisy Labels? NeurIPS 2021 How Framelets Enhance Graph Neural Networks ICML 2021 How Knowledge Graph and Attention Help? A Qualitative Analysis into Bag-level Relation Extraction ACL 2021 How Many Layers and Why? An Analysis of the Model Depth in Transformers ACL 2021 How much pretraining data do language models need to learn syntax? EMNLP 2021 How Powerful are Performance Predictors in Neural Architecture Search? NeurIPS 2021 HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers CVPR 2021 Human De-Occlusion: Invisible Perception and Recovery for Humans CVPR 2021 HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark ICLR 2021 HyDRA: Hypergradient Data Relevance Analysis for Interpreting Deep Neural Networks AAAI 2021 HyperCon: Image-to-Video Model Transfer for Video-to-Video Translation Tasks WACV 2021 HyperGrid Transformers: Towards A Single Model for Multiple Tasks ICLR 2021