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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)

Building Human-Machine Trust via Interpretability AAAI 2019 Building Personalized Simulator for Interactive Search IJCAI 2019 Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation EMNLP 2019 Building Trust in Deep Learning System towards Automated Disease Detection AAAI 2019 Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack EMNLP 2019 C3AE: Exploring the Limits of Compact Model for Age Estimation CVPR 2019 C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion ICCV 2019 CAMOU: Learning Physical Vehicle Camouflages to Adversarially Attack Detectors in the Wild ICLR 2019 CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval ICCV 2019 Can Character Embeddings Improve Cause-of-Death Classification for Verbal Autopsy Narratives? ACL 2019 CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis EMNLP 2019 Can Meta-Interpretive Learning outperform Deep Reinforcement Learning of Evaluable Game strategies? IJCAI 2019 Can Neural Networks Understand Monotonicity Reasoning? ACL 2019 Can You Trust This Prediction? Auditing Pointwise Reliability After Learning AISTATS 2019 Can you trust your model's uncertainty? Evaluating predictive uncertainty under dataset shift NeurIPS 2019 Can You Unpack That? Learning to Rewrite Questions-in-Context EMNLP 2019 Capsule Networks Need an Improved Routing Algorithm ACML 2019 Capture, Learning, and Synthesis of 3D Speaking Styles CVPR 2019 Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks EMNLP 2019 Capturing Spatial and Temporal Patterns for Facial Landmark Tracking through Adversarial Learning IJCAI 2019 CaRe: Open Knowledge Graph Embeddings EMNLP 2019 CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots EMNLP 2019 Cascaded Projection: End-To-End Network Compression and Acceleration CVPR 2019 Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks CVPR 2019 Categorizing and Inferring the Relationship between the Text and Image of Twitter Posts ACL 2019