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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)

Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines EMNLP 2019 Towards Fine-grained Text Sentiment Transfer ACL 2019 Towards Fluid Machine Intelligence: Can We Make a Gifted AI? AAAI 2019 Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering EMNLP 2019 Towards Governing Agent’s Efficacy: Action-Conditional $β$-VAE for Deep Transparent Reinforcement Learning ACML 2019 Towards Improving Neural Named Entity Recognition with Gazetteers ACL 2019 Towards Interpretable Face Recognition ICCV 2019 Towards Interpretable Object Detection by Unfolding Latent Structures ICCV 2019 Towards Interpretable Reinforcement Learning Using Attention Augmented Agents NeurIPS 2019 Towards Knowledge-Based Recommender Dialog System EMNLP 2019 Towards Learning to Detect and Predict Contact Events on Vision-based Tactile Sensors CoRL 2019 Towards Making a Dependency Parser See EMNLP 2019 Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper) ACL 2019 Towards Natural and Accurate Future Motion Prediction of Humans and Animals CVPR 2019 Towards Near-imperceptible Steganographic Text ACL 2019 Towards Optimal Off-Policy Evaluation for Reinforcement Learning with Marginalized Importance Sampling NeurIPS 2019 Towards Optimal Structured CNN Pruning via Generative Adversarial Learning CVPR 2019 Towards Provably Not-At-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments RSS 2019 Towards Reliable Learning for High Stakes Applications AAAI 2019 Towards Robust Relational Causal Discovery UAI 2019 Towards Robust ResNet: A Small Step but a Giant Leap IJCAI 2019 Towards Scalable and Reliable Capsule Networks for Challenging NLP Applications ACL 2019 Towards Sentence-Level Brain Decoding with Distributed Representations AAAI 2019 Towards Sequence-to-Sequence Reinforcement Learning for Constraint Solving with Constraint-Based Local Search AAAI 2019 Towards Social Artificial Intelligence: Nonverbal Social Signal Prediction in a Triadic Interaction CVPR 2019