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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)

Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation EMNLP 2021 Factual Probing Is [MASK]: Learning vs. Learning to Recall NAACL 2021 Fair Algorithms for Multi-Agent Multi-Armed Bandits NeurIPS 2021 Fair and Efficient Allocations under Lexicographic Preferences AAAI 2021 Fair and Efficient Resource Allocation with Partial Information IJCAI 2021 Fair and Interpretable Algorithmic Hiring using Evolutionary Many Objective Optimization AAAI 2021 Fair and Truthful Mechanisms for Dichotomous Valuations AAAI 2021 Fair Attribute Classification Through Latent Space De-Biasing CVPR 2021 Fair Classification with Noisy Protected Attributes: A Framework with Provable Guarantees ICML 2021 Fair Comparison: Quantifying Variance in Results for Fine-Grained Visual Categorization WACV 2021 Fair Exploration via Axiomatic Bargaining NeurIPS 2021 Fair Feature Distillation for Visual Recognition CVPR 2021 Fair Mixup: Fairness via Interpolation ICLR 2021 FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search ICCV 2021 Fairness and Bias in Online Selection ICML 2021 Fairness-aware Class Imbalanced Learning EMNLP 2021 Fairness for Image Generation with Uncertain Sensitive Attributes ICML 2021 Fairness in Long-Term Participatory Budgeting IJCAI 2021 Fair Pairwise Exchange among Groups IJCAI 2021 Fair Scheduling for Time-dependent Resources NeurIPS 2021 Fair Selective Classification Via Sufficiency ICML 2021 Fair Stable Matchings Under Correlated Preferences (Student Abstract) AAAI 2021 Faithfully Explainable Recommendation via Neural Logic Reasoning NAACL 2021 Fake Audio Detection in Resource-Constrained Settings Using Microfeatures Interspeech 2021 FakeFlow: Fake News Detection by Modeling the Flow of Affective Information EACL 2021