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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)

Optimized Score Transformation for Consistent Fair Classification JMLR 2021 Optimizing Latency for Online Video Captioning Using Audio-Visual Transformers Interspeech 2021 Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning ICLR 2021 Ordering-Based Causal Discovery with Reinforcement Learning IJCAI 2021 Ordinal Historical Dependence in Graphical Event Models with Tree Representations AAAI 2021 Orientation Probabilistic Movement Primitives on Riemannian Manifolds CoRL 2021 Orion: Google's Software-Defined Networking Control Plane NSDI 2021 Orthographic vs. Semantic Representations for Unsupervised Morphological Paradigm Clustering ACL 2021 OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings EMNLP 2021 OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression NeurIPS 2021 OTTers: One-turn Topic Transitions for Open-Domain Dialogue ACL 2021 Outcome-Driven Reinforcement Learning via Variational Inference NeurIPS 2021 Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces CVPR 2021 Out-of-Distribution Generalization via Risk Extrapolation (REx) ICML 2021 Out-of-Scope Intent Detection with Self-Supervision and Discriminative Training ACL 2021 Out-of-Vocabulary Words Detection with Attention and CTC Alignments in an End-to-End ASR System Interspeech 2021 Overcoming Conflicting Data when Updating a Neural Semantic Parser EMNLP 2021 Overcoming Poor Word Embeddings with Word Definitions ACL 2021 Overcoming the Convex Barrier for Simplex Inputs NeurIPS 2021 Overparameterisation and worst-case generalisation: friend or foe? ICLR 2021 Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks CVPR 2021 Overview of the MEDIQA 2021 Shared Task on Summarization in the Medical Domain NAACL 2021 PAC Confidence Predictions for Deep Neural Network Classifiers ICLR 2021 PAC-Learning for Strategic Classification ICML 2021 PAC Learning of Causal Trees with Latent Variables AAAI 2021