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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)

Defense for Black-Box Attacks on Anti-Spoofing Models by Self-Supervised Learning Interspeech 2020 Defense Through Diverse Directions ICML 2020 Defining and Learning Refined Temporal Relations in the Clinical Narrative EMNLP 2020 Defining Explanation in an AI Context EMNLP 2020 DefogGAN: Predicting Hidden Information in the StarCraft Fog of War with Generative Adversarial Nets AAAI 2020 Deformable Siamese Attention Networks for Visual Object Tracking CVPR 2020 Demixed shared component analysis of neural population data from multiple brain areas NeurIPS 2020 Dense Correspondences between Human Bodies via Learning Transformation Synchronization on Graphs NeurIPS 2020 Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection WACV 2020 Densely Connected Search Space for More Flexible Neural Architecture Search CVPR 2020 Deontological Ethics By Monotonicity Shape Constraints AISTATS 2020 Depth-Adaptive Transformer ICLR 2020 Depth Sensing Beyond LiDAR Range CVPR 2020 (De)Randomized Smoothing for Certifiable Defense against Patch Attacks NeurIPS 2020 Deriving Bounds And Inequality Constraints Using Logical Relations Among Counterfactuals UAI 2020 DeSePtion: Dual Sequence Prediction and Adversarial Examples for Improved Fact-Checking ACL 2020 Design Adaptive AI for RTS Game by Learning Player's Build Order IJCAI 2020 Design Challenges in Low-resource Cross-lingual Entity Linking EMNLP 2020 Designing Committees for Mitigating Biases AAAI 2020 Designing Precise and Robust Dialogue Response Evaluators ACL 2020 Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models COLING 2020 Detecting Adversarial Attacks via Subset Scanning of Autoencoder Activations and Reconstruction Error IJCAI 2020 Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors CVPR 2020 Detecting and Counting Overlapping Speakers in Distant Speech Scenarios Interspeech 2020 Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions ICLR 2020