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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)

Interpretable Prediction of Lung Squamous Cell Carcinoma Recurrence With Self-supervised Learning MIDL 2022 Interpretable Privacy Preservation of Text Representations Using Vector Steganography AAAI 2022 Interpretable Proof Generation via Iterative Backward Reasoning NAACL 2022 Interpretable Research Replication Prediction via Variational Contextual Consistency Sentence Masking ACL 2022 Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction CoRL 2022 Interpretable Semantic Photo Geolocation WACV 2022 Interpreting Character Embeddings With Perceptual Representations: The Case of Shape, Sound, and Color ACL 2022 Interpreting Gender Bias in Neural Machine Translation: Multilingual Architecture Matters AAAI 2022 Interpreting Language Models with Contrastive Explanations EMNLP 2022 Interpreting Operation Selection in Differentiable Architecture Search: A Perspective from Influence-Directed Explanations NeurIPS 2022 Interpreting the Robustness of Neural NLP Models to Textual Perturbations ACL 2022 Interpreting Time-Varying Dynamic Bayesian Networks for Earth Climate Modelling PGM 2022 Interventional Contrastive Learning with Meta Semantic Regularizer ICML 2022 Interventional Training for Out-Of-Distribution Natural Language Understanding EMNLP 2022 Intervention target estimation in the presence of latent variables UAI 2022 In the Eye of the Beholder: Robust Prediction with Causal User Modeling NeurIPS 2022 IntraQ: Learning Synthetic Images With Intra-Class Heterogeneity for Zero-Shot Network Quantization CVPR 2022 Intriguing Properties of Compression on Multilingual Models EMNLP 2022 Intriguing Properties of Input-Dependent Randomized Smoothing ICML 2022 Introducing Symmetries to Black Box Meta Reinforcement Learning AAAI 2022 Introspective Learning : A Two-Stage approach for Inference in Neural Networks NeurIPS 2022 Invariant Action Effect Model for Reinforcement Learning AAAI 2022 Invariant Ancestry Search ICML 2022 Invariant and Transportable Representations for Anti-Causal Domain Shifts NeurIPS 2022 Invariant Causal Representation Learning for Out-of-Distribution Generalization ICLR 2022