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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)

DEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems AAAI 2021 DEBERTA: DECODING-ENHANCED BERT WITH DISENTANGLED ATTENTION ICLR 2021 Debiased Visual Question Answering from Feature and Sample Perspectives NeurIPS 2021 Debiasing Concept-based Explanations with Causal Analysis ICLR 2021 De-biasing Distantly Supervised Named Entity Recognition via Causal Intervention ACL 2021 Debiasing Methods in Natural Language Understanding Make Bias More Accessible EMNLP 2021 Debiasing Pre-trained Contextualised Embeddings EACL 2021 DebIE: A Platform for Implicit and Explicit Debiasing of Word Embedding Spaces EACL 2021 DECAF: Generating Fair Synthetic Data Using Causally-Aware Generative Networks NeurIPS 2021 Decentralized Attribution of Generative Models ICLR 2021 Decentralized Learning in Online Queuing Systems NeurIPS 2021 Decentralized multi-agent active search for sparse signals UAI 2021 Decentralized Multi-Agent Linear Bandits with Safety Constraints AAAI 2021 Decentralized No-regret Learning Algorithms for Extensive-form Correlated Equilibria (Extended Abstract) IJCAI 2021 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021 Decentralized Q-learning in Zero-sum Markov Games NeurIPS 2021 Decentralized Sharing and Valuation of Fleet Robotic Data CoRL 2021 Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games ICML 2021 Deciding What to Learn: A Rate-Distortion Approach ICML 2021 Decision-Focused Summarization EMNLP 2021 Decision-Guided Weighted Automata Extraction from Recurrent Neural Networks AAAI 2021 Decision Making Problems with Funnel Structure: A Multi-Task Learning Approach with Application to Email Marketing Campaigns AISTATS 2021 Decision Making with Differential Privacy under a Fairness Lens IJCAI 2021 DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations ACL 2021 Decomposable-Net: Scalable Low-Rank Compression for Neural Networks IJCAI 2021