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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)

Catch-A-Waveform: Learning to Generate Audio from a Single Short Example NeurIPS 2021 Catchphrase: Automatic Detection of Cultural References ACL 2021 CATE: A Contrastive Pre-trained Model for Metaphor Detection with Semi-supervised Learning EMNLP 2021 CATE: Computation-aware Neural Architecture Encoding with Transformers ICML 2021 Causal Abstractions of Neural Networks NeurIPS 2021 Causal additive models with unobserved variables UAI 2021 Causal Analysis of Syntactic Agreement Mechanisms in Neural Language Models ACL 2021 Causal and interventional Markov boundaries UAI 2021 Causal Attention for Unbiased Visual Recognition ICCV 2021 Causal Attention for Vision-Language Tasks CVPR 2021 Causal Augmentation for Causal Sentence Classification EMNLP 2021 Causal Autoregressive Flows AISTATS 2021 Causal-BALD: Deep Bayesian Active Learning of Outcomes to Infer Treatment-Effects from Observational Data NeurIPS 2021 Causal Bandits with Unknown Graph Structure NeurIPS 2021 Causal Confusion Reduction for Robust Multi-Domain Dialogue Policy Interspeech 2021 Causal Curiosity: RL Agents Discovering Self-supervised Experiments for Causal Representation Learning ICML 2021 Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP EMNLP 2021 Causal Discovery with Multi-Domain LiNGAM for Latent Factors IJCAI 2021 Causal Effect Inference for Structured Treatments NeurIPS 2021 Causal Effects of Linguistic Properties NAACL 2021 Causal Hidden Markov Model for Time Series Disease Forecasting CVPR 2021 Causal Identification with Matrix Equations NeurIPS 2021 Causal Inference for Event Pairs in Multivariate Point Processes NeurIPS 2021 Causal Inference under Networked Interference and Intervention Policy Enhancement AISTATS 2021 Causal Inference with Selectively Deconfounded Data AISTATS 2021