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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)

AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks NAACL 2022 Adapters for Enhanced Modeling of Multilingual Knowledge and Text EMNLP 2022 AdapterShare: Task Correlation Modeling with Adapter Differentiation EMNLP 2022 Adapting a Language Model While Preserving its General Knowledge EMNLP 2022 Adaptive Conformal Predictions for Time Series ICML 2022 Adaptive Contrastive Learning on Multimodal Transformer for Review Helpfulness Prediction EMNLP 2022 Adaptive Image-to-Video Scene Graph Generation via Knowledge Reasoning and Adversarial Learning AAAI 2022 Adaptive Information Belief Space Planning IJCAI 2022 Adaptive Long-Short Pattern Transformer for Stock Investment Selection IJCAI 2022 Adaptively Exploiting d-Separators with Causal Bandits NeurIPS 2022 Adaptive Model Design for Markov Decision Process ICML 2022 Adaptive Model Predictive Control by Learning Classifiers L4DC 2022 Adaptive Multi-Goal Exploration AISTATS 2022 Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement Learning COLING 2022 Adaptive Safe Behavior Generation for Heterogeneous Autonomous Vehicles Using Parametric-Control Barrier Functions (Student Abstract) AAAI 2022 Adaptive Trajectory Prediction via Transferable GNN CVPR 2022 Adaptive Variants of Optimal Feedback Policies L4DC 2022 ADAPT: Vision-Language Navigation With Modality-Aligned Action Prompts CVPR 2022 AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning ICLR 2022 AdaSTE: An Adaptive Straight-Through Estimator To Train Binary Neural Networks CVPR 2022 A data-driven approach for learning to control computers ICML 2022 A Dataset for Detecting Humor in Telugu Social Media Text ACL 2022 A Dataset for Efforts Towards Achieving the Sustainable Development Goal of Safe Working Environments NeurIPS 2022 A Dataset for Hyper-Relational Extraction and a Cube-Filling Approach EMNLP 2022 ADBench: Anomaly Detection Benchmark NeurIPS 2022