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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)

Reliable Post hoc Explanations: Modeling Uncertainty in Explainability NeurIPS 2021 REM: Efficient Semi-Automated Real-Time Moderation of Online Forums ACL 2021 Remembering for the Right Reasons: Explanations Reduce Catastrophic Forgetting ICLR 2021 REM-Net: Recursive Erasure Memory Network for Commonsense Evidence Refinement AAAI 2021 Removing Inter-Experimental Variability from Functional Data in Systems Neuroscience NeurIPS 2021 ReNAS: Relativistic Evaluation of Neural Architecture Search CVPR 2021 RepGraph: Visualising and Analysing Meaning Representation Graphs EMNLP 2021 Replicating and Extending “Because Their Treebanks Leak”: Graph Isomorphism, Covariants, and Parser Performance ACL 2021 Representation Learning for Event-based Visuomotor Policies NeurIPS 2021 Representation learning for improved interpretability and classification accuracy of clinical factors from EEG ICLR 2021 Representation Learning via Invariant Causal Mechanisms ICLR 2021 Representations of Meaning in Neural Networks for NLP: a Thesis Proposal NAACL 2021 Representative Forgery Mining for Fake Face Detection CVPR 2021 Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models NeurIPS 2021 Representing Numbers in NLP: a Survey and a Vision NAACL 2021 Representing Partial Programs with Blended Abstract Semantics ICLR 2021 Reserve Price Optimization for First Price Auctions in Display Advertising ICML 2021 Residual Energy-Based Models for Text JMLR 2021 Resilient Multi-Agent Reinforcement Learning with Adversarial Value Decomposition AAAI 2021 Resolving Conflict in Decision-Making for Autonomous Driving RSS 2021 Resolving Implicit References in Instructional Texts EMNLP 2021 Resource Allocation in Multi-armed Bandit Exploration: Overcoming Sublinear Scaling with Adaptive Parallelism ICML 2021 Responsibility Attribution in Parameterized Markovian Models AAAI 2021 Responsible Prediction Making of COVID-19 Mortality (Student Abstract) AAAI 2021 ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting ICCV 2021