Model Architecture

Locally Aggregated Feature Attribution on Natural Language Model Understanding NAACL 2022 Locally Distributed Activation Vectors for Guided Feature Attribution COLING 2022 Logical Activation Functions: Logit-space equivalents of Probabilistic Boolean Operators NeurIPS 2022 Logic Rule Guided Attribution with Dynamic Ablation AAAI 2022 Logographic Information Aids Learning Better Representations for Natural Language Inference AACL 2022 Log-Polar Space Convolution Layers NeurIPS 2022 Long-range Sequence Modeling with Predictable Sparse Attention ACL 2022 Long-term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention IJCAI 2022 Lossless Compression with Probabilistic Circuits ICLR 2022 Lottery Tickets on a Data Diet: Finding Initializations with Sparse Trainable Networks NeurIPS 2022 LUL’s WMT22 Automatic Post-Editing Shared Task Submission EMNLP 2022 LwPosr: Lightweight Efficient Fine Grained Head Pose Estimation WACV 2022 Masked Training of Neural Networks with Partial Gradients AISTATS 2022 Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network CVPR 2022 MaskTune: Mitigating Spurious Correlations by Forcing to Explore NeurIPS 2022 Measuring the Mixing of Contextual Information in the Transformer EMNLP 2022 MemSR: Training Memory-efficient Lightweight Model for Image Super-Resolution ICML 2022 Merry Go Round: Rotate a Frame and Fool a DNN CVPR 2022 MetaFormer Is Actually What You Need for Vision CVPR 2022 MGNNI: Multiscale Graph Neural Networks with Implicit Layers NeurIPS 2022 MIDI-DDSP: Detailed Control of Musical Performance via Hierarchical Modeling ICLR 2022 MiniViT: Compressing Vision Transformers With Weight Multiplexing CVPR 2022 Mitigating Neural Network Overconfidence with Logit Normalization ICML 2022 Mixture of Attention Heads: Selecting Attention Heads Per Token EMNLP 2022 Mixture-of-Experts with Expert Choice Routing NeurIPS 2022