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Core AI

68,645 papers (13 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

1
11
99
273
4,063
17,181
2000
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Papers (including subtopics)

Foolproof Cooperative Learning ACML 2020 Footprints and Free Space From a Single Color Image CVPR 2020 Forgetting an Argument AAAI 2020 Forgetting to Learn Logic Programs AAAI 2020 Formalizing Group and Propagated Trust in Multi-Agent Systems IJCAI 2020 FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis ICML 2020 Forward and Backward Information Retention for Accurate Binary Neural Networks CVPR 2020 Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations RSS 2020 Fourier-transform-based attribution priors improve the interpretability and stability of deep learning models for genomics NeurIPS 2020 FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NeurIPS 2020 Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents COLING 2020 FreeLB: Enhanced Adversarial Training for Natural Language Understanding ICLR 2020 FReeNet: Multi-Identity Face Reenactment CVPR 2020 Frequency Modulation of Body Waves to Improve Performance of Limbless Robots RSS 2020 FroDO: From Detections to 3D Objects CVPR 2020 From Boltzmann Machines to Neural Networks and Back Again NeurIPS 2020 From Chaos to Order: Symmetry and Conservation Laws in Game Dynamics ICML 2020 From Few to More: Large-Scale Dynamic Multiagent Curriculum Learning AAAI 2020 From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech ICLR 2020 From Language to Language-ish: How Brain-Like is an LSTM’s Representation of Nonsensical Language Stimuli? EMNLP 2020 From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap ACL 2020 From pixels to legs: Hierarchical learning of quadruped locomotion CoRL 2020 From Speech-to-Speech Translation to Automatic Dubbing ACL 2020 From Statistical Relational to Neuro-Symbolic Artificial Intelligence IJCAI 2020 From Zero to Hero: Human-In-The-Loop Entity Linking in Low Resource Domains ACL 2020