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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)

Modeling Partially Observable Systems using Graph-Based Memory and Topological Priors L4DC 2022 Modeling Persuasive Discourse to Adaptively Support Students’ Argumentative Writing ACL 2022 Modeling Referential Gaze in Task-oriented Settings of Varying Referential Complexity AACL 2022 Modeling Strong and Human-Like Gameplay with KL-Regularized Search ICML 2022 Modeling Structure with Undirected Neural Networks ICML 2022 Modeling Temporal-Modal Entity Graph for Procedural Multimodal Machine Comprehension ACL 2022 Modeling Transitivity and Cyclicity in Directed Graphs via Binary Code Box Embeddings NeurIPS 2022 Modeling U.S. State-Level Policies by Extracting Winners and Losers from Legislative Texts ACL 2022 Modelling the Dynamics of Regret Minimization in Large Agent Populations: a Master Equation Approach IJCAI 2022 Model Preserving Compression for Neural Networks NeurIPS 2022 Models In a Spelling Bee: Language Models Implicitly Learn the Character Composition of Tokens NAACL 2022 Models in the Loop: Aiding Crowdworkers with Generative Annotation Assistants NAACL 2022 Model Stealing Defense against Exploiting Information Leak through the Interpretation of Deep Neural Nets IJCAI 2022 Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models NeurIPS 2022 Modification-Fair Cluster Editing AAAI 2022 ModLaNets: Learning Generalisable Dynamics via Modularity and Physical Inductive Bias ICML 2022 Modular and Parameter-Efficient Fine-Tuning for NLP Models EMNLP 2022 Modular and Parameter-Efficient Multimodal Fusion with Prompting ACL 2022 Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation CoRL 2022 MoEfication: Transformer Feed-forward Layers are Mixtures of Experts ACL 2022 MOMA-LRG: Language-Refined Graphs for Multi-Object Multi-Actor Activity Parsing NeurIPS 2022 Monarch: Expressive Structured Matrices for Efficient and Accurate Training ICML 2022 MonoDTR: Monocular 3D Object Detection With Depth-Aware Transformer CVPR 2022 MonoGround: Detecting Monocular 3D Objects From the Ground CVPR 2022 Monotone Abstractions in Ontology-Based Data Management AAAI 2022