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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)

Adaptive Verifiable Training Using Pairwise Class Similarity AAAI 2021 Adaptive wavelet distillation from neural networks through interpretations NeurIPS 2021 Adaptivity in Adaptive Submodularity COLT 2021 Adaptor Grammars for Unsupervised Paradigm Clustering ACL 2021 AdaSpeech: Adaptive Text to Speech for Custom Voice ICLR 2021 A Data Driven, Convex Optimization Approach to Learning Koopman Operators L4DC 2021 AdaTag: Multi-Attribute Value Extraction from Product Profiles with Adaptive Decoding ACL 2021 A Dataset and Baselines for Multilingual Reply Suggestion ACL 2021 AdaVQA: Overcoming Language Priors with Adapted Margin Cosine Loss IJCAI 2021 AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries CVPR 2021 Addressing Action Oscillations through Learning Policy Inertia AAAI 2021 Addressing fairness in classification with a model-agnostic multi-objective algorithm UAI 2021 Addressing the Long-term Impact of ML Decisions via Policy Regret IJCAI 2021 A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation EMNLP 2021 A Deep Reinforcement Learning Approach to First-Order Logic Theorem Proving AAAI 2021 A description and demonstration of SAFAR framework EACL 2021 A Design Space Study for LISTA and Beyond ICLR 2021 A Deterministic Neural Network Approach to Playing Gin Rummy AAAI 2021 Ad Headline Generation using Self-Critical Masked Language Model NAACL 2021 A Differentiable Recipe for Learning Visual Non-Prehensile Planar Manipulation CoRL 2021 A Discourse-Aware Graph Neural Network for Emotion Recognition in Multi-Party Conversation EMNLP 2021 A Discriminative Entity-Aware Language Model for Virtual Assistants Interspeech 2021 A Distributional Approach to Controlled Text Generation ICLR 2021 A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base Question Answering EMNLP 2021 Admix: Enhancing the Transferability of Adversarial Attacks ICCV 2021