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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)

Local Justice and the Algorithmic Allocation of Scarce Societal Resources AAAI 2022 Locally Aggregated Feature Attribution on Natural Language Model Understanding NAACL 2022 Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes ACML 2022 Locally Distributed Activation Vectors for Guided Feature Attribution COLING 2022 Locally Fair Partitioning AAAI 2022 Locally Sparse Neural Networks for Tabular Biomedical Data ICML 2022 Local Structure Matters Most in Most Languages AACL 2022 Locate Then Ask: Interpretable Stepwise Reasoning for Multi-hop Question Answering COLING 2022 Logical Credal Networks NeurIPS 2022 Logical Fallacy Detection EMNLP 2022 Logical Form Generation via Multi-task Learning for Complex Question Answering over Knowledge Bases COLING 2022 Logically at the Constraint 2022: Multimodal role labelling ACL 2022 Logical Neural Networks for Knowledge Base Completion with Embeddings & Rules EMNLP 2022 Logical Reasoning for Task Oriented Dialogue Systems ACL 2022 Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models EMNLP 2022 LOGICDEF: An Interpretable Defense Framework against Adversarial Examples via Inductive Scene Graph Reasoning AAAI 2022 Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text ACL 2022 LogicNMR: Probing the Non-monotonic Reasoning Ability of Pre-trained Language Models EMNLP 2022 Logic Rule Guided Attribution with Dynamic Ablation AAAI 2022 Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification (Extended Abstract) IJCAI 2022 LogicSolver: Towards Interpretable Math Word Problem Solving with Logical Prompt-enhanced Learning EMNLP 2022 Logic Traps in Evaluating Attribution Scores ACL 2022 LogiGAN: Learning Logical Reasoning via Adversarial Pre-training NeurIPS 2022 LogiTorch: A PyTorch-based library for logical reasoning on natural language EMNLP 2022 Logographic Information Aids Learning Better Representations for Natural Language Inference AACL 2022