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Core AI

68,645 papers (13 classified directly here)

Multimodal Learning (14,926) Large Language Models (9,515) Interpretability (8,292) Foundation Models (5,277) Agent Systems (4,710) Causal Inference (3,958) Multi-Agent Systems (3,842) AI Safety (3,602) Planning (3,482) Reasoning (3,360) Human-AI Interaction (2,465) Model Compression (2,258) Natural Language Processing (2,186) Responsible AI (2,130) Computer Vision (1,901) Game AI (1,846) Reinforcement Learning (1,698) Adversarial Learning (1,500) Autonomous Vehicles (1,488) Language (1,345) Fairness (1,279) Game Theory (1,129) Robotics (1,087) Dialogue Systems (1,066) Efficient Computing (956) Vision-Language Models (928) Knowledge Graph (735) Procedural Generation (709) Trajectory Prediction (676) Evaluation (655) Privacy (617) Natural Language Generation (573) Information Retrieval (541) Memory (526) Decision Making (480) Safety (474) Knowledge Representation (409) Knowledge (386) Information Extraction (378) Speech Processing (310) Knowledge Graphs (282) Security (256) Uncertainty Quantification (246) Representation Learning (239) Retrieval-Augmented Generation (225) Knowledge Editing (200) Question Answering (199) Attention (198) Robustness (186) Knowledge Distillation (185) Code Generation (168) Explainability (142) Brain-Computer Interface (141) Neural Networks (136) Anomaly Detection (132) Automated Reasoning (84) Natural Language Understanding (81) Multi-Lingual Learning (79) Education (64) Machine Translation (57) Learning Paradigms (57) Speech Recognition (55) Risk Management (51) Visual Question Answering (49) Communication (35) Motion Analysis (32) Natural Language Inference (29) Sentiment Analysis (19) Representation (17)
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Papers (including subtopics)

CogLTX: Applying BERT to Long Texts NeurIPS 2020 COGS: A Compositional Generalization Challenge Based on Semantic Interpretation EMNLP 2020 Coherent Reconstruction of Multiple Humans From a Single Image CVPR 2020 Cold-Start and Interpretability: Turning Regular Expressions into Trainable Recurrent Neural Networks EMNLP 2020 CoLi at UdS at SemEval-2020 Task 12: Offensive Tweet Detection with Ensembling SemEval 2020 Collaborative Distillation for Ultra-Resolution Universal Style Transfer CVPR 2020 Collaborative Motion Prediction via Neural Motion Message Passing CVPR 2020 Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems ICML 2020 Collapsible IDA: Collapsing Parental Sets for Locally Estimating Possible Causal Effects UAI 2020 Collecting Verified COVID-19 Question Answer Pairs EMNLP 2020 Collective Decision Making under Incomplete Knowledge: Possible and Necessary Solutions IJCAI 2020 Collision Probabilities for Continuous-Time Systems Without Sampling RSS 2020 ColorFool: Semantic Adversarial Colorization CVPR 2020 Combating False Negatives in Adversarial Imitation Learning (Student Abstract) AAAI 2020 Combining Cognitive Modeling and Reinforcement Learning for Clarification in Dialogue COLING 2020 Combining Deep Reinforcement Learning and Search for Imperfect-Information Games NeurIPS 2020 Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction ICML 2020 Combining Direct Trust and Indirect Trust in Multi-Agent Systems IJCAI 2020 Combining Fine-Tuning with a Feature-Based Approach for Aspect Extraction on Reviews (Student Abstract) AAAI 2020 Combining Real-Time Segmentation and Classification of Rehabilitation Exercises with LSTM Networks and Pointwise Boosting AAAI 2020 Coming to Terms: Automatic Formation of Neologisms in Hebrew EMNLP 2020 Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers EMNLP 2020 Commonsense Reasoning for Natural Language Processing ACL 2020 Commonsense Statements Identification and Explanation with Transformer-based Encoders EMNLP 2020 Communication Learning via Backpropagation in Discrete Channels with Unknown Noise AAAI 2020