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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)

Abusive Language Detection in Heterogeneous Contexts: Dataset Collection and the Role of Supervised Attention AAAI 2021 A Case Study of Analysis of Construals in Language on Social Media Surrounding a Crisis Event ACL 2021 A Case Study of Efficacy and Challenges in Practical Human-in-Loop Evaluation of NLP Systems Using Checklist EACL 2021 A Case Study of the Shortcut Effects in Visual Commonsense Reasoning AAAI 2021 A Causal Approach for Unfair Edge Prioritization and Discrimination Removal ACML 2021 A Causal Lens for Controllable Text Generation NeurIPS 2021 Accelerate CNNs from Three Dimensions: A Comprehensive Pruning Framework ICML 2021 Accelerated Learning with Robustness to Adversarial Regressors L4DC 2021 Accelerated Sparse Neural Training: A Provable and Efficient Method to Find N:M Transposable Masks NeurIPS 2021 Accelerating BERT Inference for Sequence Labeling via Early-Exit ACL 2021 Accelerating Data Discovery with an Ontology-driven Tool for an Enterprise-scale Data Lake Environment AAAI 2021 Accelerating Neural Machine Translation with Partial Word Embedding Compression AAAI 2021 Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives NeurIPS 2021 Accelerating Safe Reinforcement Learning with Constraint-mismatched Baseline Policies ICML 2021 Accelerating Text Communication via Abbreviated Sentence Input ACL 2021 Accommodating Picky Customers: Regret Bound and Exploration Complexity for Multi-Objective Reinforcement Learning NeurIPS 2021 Accomplice Manipulation of the Deferred Acceptance Algorithm IJCAI 2021 Accountable Error Characterization NAACL 2021 Accumulative Poisoning Attacks on Real-time Data NeurIPS 2021 Accuracy, Interpretability, and Differential Privacy via Explainable Boosting ICML 2021 Accurate and Interpretable Machine Learning for Transparent Pricing of Health Insurance Plans AAAI 2021 Accurate and Robust Feature Importance Estimation under Distribution Shifts AAAI 2021 Accurate Post Training Quantization With Small Calibration Sets ICML 2021 AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks NeurIPS 2021 Achieving Fairness in the Stochastic Multi-Armed Bandit Problem JMLR 2021