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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)

Probabilistic Robustness Quantification of Neural Networks AAAI 2021 Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services CVPR 2021 Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments ACL 2021 Probabilistic Sufficient Explanations IJCAI 2021 Probing Across Time: What Does RoBERTa Know and When? EMNLP 2021 Probing BERT in Hyperbolic Spaces ICLR 2021 Probing Commonsense Explanation in Dialogue Response Generation EMNLP 2021 Probing Contextual Language Models for Common Ground with Visual Representations NAACL 2021 Probing Cross-Modal Representations in Multi-Step Relational Reasoning ACL 2021 Probing for Bridging Inference in Transformer Language Models NAACL 2021 Probing Inter-modality: Visual Parsing with Self-Attention for Vision-and-Language Pre-training NeurIPS 2021 Probing Language Models for Understanding of Temporal Expressions EMNLP 2021 Probing Multilingual Language Models for Discourse ACL 2021 Probing Pre-trained Language Models for Semantic Attributes and their Values EMNLP 2021 Probing Product Description Generation via Posterior Distillation AAAI 2021 Probing the Probing Paradigm: Does Probing Accuracy Entail Task Relevance? EACL 2021 Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits AISTATS 2021 Procedure Planning in Instructional Videos via Contextual Modeling and Model-Based Policy Learning ICCV 2021 Process for Adapting Language Models to Society (PALMS) with Values-Targeted Datasets NeurIPS 2021 Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness EMNLP 2021 ProFlip: Targeted Trojan Attack With Progressive Bit Flips ICCV 2021 Programmatic Strategies for Real-Time Strategy Games AAAI 2021 Program Synthesis Guided Reinforcement Learning for Partially Observed Environments NeurIPS 2021 Progression Heuristics for Planning with Probabilistic LTL Constraints AAAI 2021 Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion EMNLP 2021