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Architectures

30,950 papers (33 classified directly here)

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Papers (including subtopics)

Knowledge-inspired 3D Scene Graph Prediction in Point Cloud NeurIPS 2021 Knowledge Router: Learning Disentangled Representations for Knowledge Graphs NAACL 2021 KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA CVPR 2021 KU_NLP@LT-EDI-EACL2021: A Multilingual Hope Speech Detection for Equality, Diversity, and Inclusion using Context Aware Embeddings EACL 2021 KW-ATTN: Knowledge Infused Attention for Accurate and Interpretable Text Classification NAACL 2021 L2ight: Enabling On-Chip Learning for Optical Neural Networks via Efficient in-situ Subspace Optimization NeurIPS 2021 Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning NeurIPS 2021 Label-Specific Dual Graph Neural Network for Multi-Label Text Classification ACL 2021 LACOPE: Latency-Constrained Pitch Estimation for Speech Enhancement Interspeech 2021 LAMAD: A Linguistic Attentional Model for Arabic Text Diacritization EMNLP 2021 LambdaNetworks: Modeling long-range Interactions without Attention ICLR 2021 LAMS: A Location-aware Approach for Multimodal Summarization (Student Abstract) AAAI 2021 Land Deformation Prediction via Slope-Aware Graph Neural Networks AAAI 2021 Language-agnostic Representation from Multilingual Sentence Encoders for Cross-lingual Similarity Estimation EMNLP 2021 Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism ICCV 2021 Language ID Prediction from Speech Using Self-Attentive Pooling NAACL 2021 Language that Captivates the Audience: Predicting Affective Ratings of TED Talks in a Multi-Label Classification Task EACL 2021 LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents CVPR 2021 Large Associative Memory Problem in Neurobiology and Machine Learning ICLR 2021 Large-Capacity Image Steganography Based on Invertible Neural Networks CVPR 2021 Larger-Scale Transformers for Multilingual Masked Language Modeling ACL 2021 Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods NeurIPS 2021 Large-Scale Wasserstein Gradient Flows NeurIPS 2021 Large-width functional asymptotics for deep Gaussian neural networks ICLR 2021 LARNet: Lie Algebra Residual Network for Face Recognition ICML 2021