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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)

Building Causal Interaction Models by Recursive Unfolding PGM 2020 BullStop: A Mobile App for Cyberbullying Prevention COLING 2020 Bursting the Filter Bubble: Fairness-Aware Network Link Prediction AAAI 2020 BUT-FIT at SemEval-2020 Task 5: Automatic Detection of Counterfactual Statements with Deep Pre-trained Language Representation Models SemEval 2020 Byzantine Resilient Distributed Multi-Task Learning NeurIPS 2020 Cable Manipulation with a Tactile-Reactive Gripper RSS 2020 CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020 Calibrated Surrogate Losses for Adversarially Robust Classification COLT 2020 Calibrating Structured Output Predictors for Natural Language Processing ACL 2020 Calibration of Pre-trained Transformers EMNLP 2020 Calibration of Shared Equilibria in General Sum Partially Observable Markov Games NeurIPS 2020 Calorie Estimation in a Real-World Recipe Service AAAI 2020 Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning CVPR 2020 CAMPs: Learning Context-Specific Abstractions for Efficient Planning in Factored MDPs CoRL 2020 Can Autonomous Vehicles Identify, Recover From, and Adapt to Distribution Shifts? ICML 2020 Cancer Treatment Classification with Electronic Medical Health Records (Student Abstract) AAAI 2020 Can Deep Learning Recognize Subtle Human Activities? CVPR 2020 Can Eruptions Be Predicted? Short-Term Prediction of Volcanic Eruptions via Attention-Based Long Short-Term Memory AAAI 2020 Can Facial Pose and Expression Be Separated With Weak Perspective Camera? CVPR 2020 Can Graph Neural Networks Count Substructures? NeurIPS 2020 Can I teach a robot to replicate a line art WACV 2020 Can Pre-training help VQA with Lexical Variations? EMNLP 2020 Can Q-Learning with Graph Networks Learn a Generalizable Branching Heuristic for a SAT Solver? NeurIPS 2020 Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS CVPR 2020 Can We Predict New Facts with Open Knowledge Graph Embeddings? A Benchmark for Open Link Prediction ACL 2020