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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)

Compact task representations as a normative model for higher-order brain activity NeurIPS 2020 Comparative Analysis of Text Classification Approaches in Electronic Health Records ACL 2020 Comparing Probabilistic, Distributional and Transformer-Based Models on Logical Metonymy Interpretation AACL 2020 Comparing Rewinding and Fine-tuning in Neural Network Pruning ICLR 2020 Competency Evaluation in Voice Mimicking Using Acoustic Cues Interspeech 2020 Competing Bandits in Matching Markets AISTATS 2020 Competition Among Contests: a Safety Level Analysis IJCAI 2020 CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning ACL 2020 Complaint Identification in Social Media with Transformer Networks COLING 2020 Complementary Language Model and Parallel Bi-LRNN for False Trigger Mitigation Interspeech 2020 Composing Task-Agnostic Policies with Deep Reinforcement Learning ICLR 2020 Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion CVPR 2020 Compositional Generalization by Learning Analytical Expressions NeurIPS 2020 Compositional Generalization via Neural-Symbolic Stack Machines NeurIPS 2020 Compositionality and Capacity in Emergent Languages ACL 2020 Compositionality and Generalization In Emergent Languages ACL 2020 Compositionality Decomposed: How do Neural Networks Generalise? (Extended Abstract) IJCAI 2020 Compositional languages emerge in a neural iterated learning model ICLR 2020 Compositional Visual Generation with Energy Based Models NeurIPS 2020 Compressing BERT: Studying the Effects of Weight Pruning on Transfer Learning ACL 2020 Compressing LSTM Networks with Hierarchical Coarse-Grain Sparsity Interspeech 2020 Compressive Summarization with Plausibility and Salience Modeling EMNLP 2020 Compressive Transformers for Long-Range Sequence Modelling ICLR 2020 comp-syn: Perceptually Grounded Word Embeddings with Color COLING 2020 Computing Equilibria in Binary Networked Public Goods Games AAAI 2020