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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

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

Discourse as a Function of Event: Profiling Discourse Structure in News Articles around the Main Event ACL 2020 Discovering cause-effect relationships in spatial systems with a known direction based on observational data PGM 2020 Discovering contemporaneous and lagged causal relations in autocorrelated nonlinear time series datasets UAI 2020 Discovering Human Interactions With Novel Objects via Zero-Shot Learning CVPR 2020 Discovering New Intents via Constrained Deep Adaptive Clustering with Cluster Refinement AAAI 2020 Discovering the Compositional Structure of Vector Representations with Role Learning Networks EMNLP 2020 Discrete Model Compression With Resource Constraint for Deep Neural Networks CVPR 2020 Discriminative Adversarial Domain Adaptation AAAI 2020 Discriminative Particle Filter Reinforcement Learning for Complex Partial observations ICLR 2020 Discriminative Sentence Modeling for Story Ending Prediction AAAI 2020 Discriminative Transfer Learning for Optimizing ASR and Semantic Labeling in Task-Oriented Spoken Dialog Interspeech 2020 Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition CVPR 2020 Disentangling by Subspace Diffusion NeurIPS 2020 Disentangling Direct and Indirect Interactions in Polytomous Item Response Theory Models IJCAI 2020 Distance-Based Equilibria in Normal-Form Games AAAI 2020 Distilling Knowledge from Well-Informed Soft Labels for Neural Relation Extraction AAAI 2020 Distilling Neural Networks for Greener and Faster Dependency Parsing ACL 2020 Distinguish Confusing Law Articles for Legal Judgment Prediction ACL 2020 Distinguishing between Dementia with Lewy bodies (DLB) and Alzheimer’s Disease (AD) using Mental Health Records: a Classification Approach EMNLP 2020 Distinguishing Cause from Effect Using Quantiles: Bivariate Quantile Causal Discovery ICML 2020 Distraction-Aware Feature Learning for Human Attribute Recognition via Coarse-to-Fine Attention Mechanism AAAI 2020 Distributed Representations for Arithmetic Word Problems AAAI 2020 Distributionally Robust Counterfactual Risk Minimization AAAI 2020 Diverse and Informative Dialogue Generation with Context-Specific Commonsense Knowledge Awareness ACL 2020 Diverse and Relevant Visual Storytelling with Scene Graph Embeddings CoNLL 2020