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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)

Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation NeurIPS 2021 Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis ICLR 2021 FMMformer: Efficient and Flexible Transformer via Decomposed Near-field and Far-field Attention NeurIPS 2021 FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization ICLR 2021 Focus Attention: Promoting Faithfulness and Diversity in Summarization ACL 2021 Focused Attention Improves Document-Grounded Generation NAACL 2021 Focused Inference and System P AAAI 2021 Focus on Local: Detecting Lane Marker From Bottom Up via Key Point CVPR 2021 Focus on what matters: Applying Discourse Coherence Theory to Cross Document Coreference EMNLP 2021 Follow-the-Regularized-Leader Routes to Chaos in Routing Games ICML 2021 FontRL: Chinese Font Synthesis via Deep Reinforcement Learning AAAI 2021 Fooling a Complete Neural Network Verifier ICLR 2021 Fooling Thermal Infrared Pedestrian Detectors in Real World Using Small Bulbs AAAI 2021 FOP: Factorizing Optimal Joint Policy of Maximum-Entropy Multi-Agent Reinforcement Learning ICML 2021 Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems L4DC 2021 Forecasting Irreversible Disease via Progression Learning CVPR 2021 ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data ACL 2021 Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction AAAI 2021 Formalizing the Generalization-Forgetting Trade-off in Continual Learning NeurIPS 2021 Formal verification of neural networks for safety-critical tasks in deep reinforcement learning UAI 2021 Forming Better Stable Solutions in Group Formation Games Inspired by Internet Exchange Points (IXPs) AAAI 2021 Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules CVPR 2021 Foundations of Symbolic Languages for Model Interpretability NeurIPS 2021 FOVEA: Foveated Image Magnification for Autonomous Navigation ICCV 2021 FracBits: Mixed Precision Quantization via Fractional Bit-Widths AAAI 2021