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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 Unsupervised Language Understanding and Generation by Joint Dual Learning ACL 2020 Towards Verified Robustness under Text Deletion Interventions ICLR 2020 Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations CVPR 2020 Towards Visual Dialog for Radiology ACL 2020 Towards Visually Explaining Variational Autoencoders CVPR 2020 Towards Zero-Shot Conditional Summarization with Adaptive Multi-Task Fine-Tuning EMNLP 2020 Toxicity Detection: Does Context Really Matter? ACL 2020 TPNet: Trajectory Proposal Network for Motion Prediction CVPR 2020 Tractable Reinforcement Learning of Signal Temporal Logic Objectives L4DC 2020 Trade the System Efficiency for the Income Equality of Drivers in Rideshare IJCAI 2020 Trading Plan Cost for Timeliness in Situated Temporal Planning IJCAI 2020 Training Binary Neural Networks through Learning with Noisy Supervision ICML 2020 Training binary neural networks with real-to-binary convolutions ICLR 2020 Training individually fair ML models with sensitive subspace robustness ICLR 2020 Training Linear Finite-State Machines NeurIPS 2020 Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification NeurIPS 2020 Training with Adversaries to Improve Faithfulness of Attention in Neural Machine Translation AACL 2020 Transferable Calibration with Lower Bias and Variance in Domain Adaptation NeurIPS 2020 Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking CVPR 2020 Transferable Perturbations of Deep Feature Distributions ICLR 2020 Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources ICML 2020 Transfer Reinforcement Learning Using Output-Gated Working Memory AAAI 2020 Transferring Dense Pose to Proximal Animal Classes CVPR 2020 Transferring Source Style in Non-Parallel Voice Conversion Interspeech 2020 Transfer Value Iteration Networks AAAI 2020