Techniques

Explainability Guided COVID-19 Detection in CT Scans MIDL 2022 Explainability Via Causal Self-Talk NeurIPS 2022 Exploiting Invariance in Training Deep Neural Networks AAAI 2022 Exploring Capabilities of Monolingual Audio Transformers using Large Datasets in Automatic Speech Recognition of Czech Interspeech 2022 Exploring Multimodal Features and Fusion Strategies for Analyzing Disaster Tweets COLING 2022 Exploring the influence of fine-tuning data on wav2vec 2.0 model for blind speech quality prediction Interspeech 2022 Exploring the Limits of Large Scale Pre-training ICLR 2022 Extended Unconstrained Features Model for Exploring Deep Neural Collapse ICML 2022 Extracting Triangular 3D Models, Materials, and Lighting From Images CVPR 2022 F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization ICLR 2022 Face Relighting With Geometrically Consistent Shadows CVPR 2022 FactPEGASUS: Factuality-Aware Pre-training and Fine-tuning for Abstractive Summarization NAACL 2022 FalCon: Fine-Grained Feature Map Sparsity Computing With Decomposed Convolutions for Inference Optimization WACV 2022 FAM: Visual Explanations for the Feature Representations From Deep Convolutional Networks CVPR 2022 Fast Bilingual Grapheme-To-Phoneme Conversion NAACL 2022 Fast Differentiable Matrix Square Root ICLR 2022 Fast Few-shot Debugging for NLU Test Suites ACL 2022 Fast Lossless Neural Compression with Integer-Only Discrete Flows ICML 2022 Fast Model Editing at Scale ICLR 2022 Fast Monte-Carlo Approximation of the Attention Mechanism AAAI 2022 Fast Vision Transformers with HiLo Attention NeurIPS 2022 Feature Learning and Signal Propagation in Deep Neural Networks ICML 2022 Few-Shot Font Generation by Learning Fine-Grained Local Styles CVPR 2022 FILIP: Fine-grained Interactive Language-Image Pre-Training ICLR 2022 Finding Global Homophily in Graph Neural Networks When Meeting Heterophily ICML 2022