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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)

Causal Imitation Learning With Unobserved Confounders NeurIPS 2020 Causal inference in degenerate systems: An impossibility result AISTATS 2020 Causal Intervention for Weakly-Supervised Semantic Segmentation NeurIPS 2020 Causally Denoise Word Embeddings Using Half-Sibling Regression AAAI 2020 Causal Modeling for Fairness In Dynamical Systems ICML 2020 Causal Mosaic: Cause-Effect Inference via Nonlinear ICA and Ensemble Method AISTATS 2020 Causal screening in dynamical systems UAI 2020 Causal Shapley Values: Exploiting Causal Knowledge to Explain Individual Predictions of Complex Models NeurIPS 2020 Causal Strategic Linear Regression ICML 2020 Causal Structure Discovery from Distributions Arising from Mixtures of DAGs ICML 2020 Causal Transfer for Imitation Learning and Decision Making under Sensor-Shift AAAI 2020 Cause-Effect Association between Event Pairs in Event Datasets IJCAI 2020 CAUSE: Learning Granger Causality from Event Sequences using Attribution Methods ICML 2020 Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings ICML 2020 CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning IJCAI 2020 CDL: Curriculum Dual Learning for Emotion-Controllable Response Generation ACL 2020 CD-UAP: Class Discriminative Universal Adversarial Perturbation AAAI 2020 CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection CVPR 2020 Certifai: A Toolkit for Building Trust in AI Systems IJCAI 2020 Certifiably Adversarially Robust Detection of Out-of-Distribution Data NeurIPS 2020 Certified Defense to Image Transformations via Randomized Smoothing NeurIPS 2020 Certified Monotonic Neural Networks NeurIPS 2020 Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing ICLR 2020 Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks NeurIPS 2020 Certifying Confidence via Randomized Smoothing NeurIPS 2020