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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)

Robust Data-Driven Output Feedback Control via Bootstrapped Multiplicative Noise L4DC 2022 Robust Deep Reinforcement Learning through Bootstrapped Opportunistic Curriculum ICML 2022 Robust Direct Learning for Causal Data Fusion ACML 2022 Robust Egocentric Photo-Realistic Facial Expression Transfer for Virtual Reality CVPR 2022 Robust Feature-Level Adversaries are Interpretability Tools NeurIPS 2022 Robust Graph Neural Networks via Probabilistic Lipschitz Constraints L4DC 2022 Robust Hate Speech Detection via Mitigating Spurious Correlations AACL 2022 Robust Heterogeneous Graph Neural Networks against Adversarial Attacks AAAI 2022 Robust identifiability in linear structural equation models of causal inference UAI 2022 Robustification of Online Graph Exploration Methods AAAI 2022 Robustifying Sentiment Classification by Maximally Exploiting Few Counterfactuals EMNLP 2022 Robust Image Forgery Detection Over Online Social Network Shared Images CVPR 2022 Robust Imitation of a Few Demonstrations with a Backwards Model NeurIPS 2022 Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation IJCAI 2022 Robust Lane Detection via Expanded Self Attention WACV 2022 Robust Learning Meets Generative Models: Can Proxy Distributions Improve Adversarial Robustness? ICLR 2022 Robust Lottery Tickets for Pre-trained Language Models ACL 2022 RobustLR: A Diagnostic Benchmark for Evaluating Logical Robustness of Deductive Reasoners EMNLP 2022 Robustly Recognizing Irregular Scene Text by Rectifying Principle Irregularities WACV 2022 Robust Models Are More Interpretable Because Attributions Look Normal ICML 2022 Robust Multi-Objective Reinforcement Learning with Dynamic Preferences ACML 2022 Robustness Analysis of Video-Language Models Against Visual and Language Perturbations NeurIPS 2022 Robustness and Accuracy Could Be Reconcilable by (Proper) Definition ICML 2022 Robustness Certificates for Implicit Neural Networks: A Mixed Monotone Contractive Approach L4DC 2022 Robustness Disparities in Face Detection NeurIPS 2022