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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)

Self-Aware Feedback-Based Self-Learning in Large-Scale Conversational AI NAACL 2022 Self-Aware Personalized Federated Learning NeurIPS 2022 Self-conditioning Pre-Trained Language Models ICML 2022 Self-Distillation Based on High-level Information Supervision for Compressing End-to-End ASR Model Interspeech 2022 SelfD: Self-Learning Large-Scale Driving Policies From the Web CVPR 2022 Self-Explaining Deviations for Coordination NeurIPS 2022 Self-Healing Robust Neural Networks via Closed-Loop Control JMLR 2022 Self-Joint Supervised Learning ICLR 2022 Self-Organized Group for Cooperative Multi-agent Reinforcement Learning NeurIPS 2022 Self-Organized Polynomial-Time Coordination Graphs ICML 2022 Self-Supervised Category-Level 6D Object Pose Estimation with Deep Implicit Shape Representation AAAI 2022 Self-supervised Cross-modal Pretraining for Speech Emotion Recognition and Sentiment Analysis EMNLP 2022 Self-Supervised Domain Adaptation for Visual Navigation With Global Map Consistency WACV 2022 Self-Supervised Fair Representation Learning without Demographics NeurIPS 2022 Self-supervised Graph Masking Pre-training for Graph-to-Text Generation EMNLP 2022 Self-Supervised Graph Neural Networks for Improved Electroencephalographic Seizure Analysis ICLR 2022 Self-Supervised Keypoint Discovery in Behavioral Videos CVPR 2022 Self-Supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection CVPR 2022 Self-Supervised Models of Audio Effectively Explain Human Cortical Responses to Speech ICML 2022 Self-Supervised Representation Learning Framework for Remote Physiological Measurement Using Spatiotemporal Augmentation Loss AAAI 2022 Self-Supervised Spatial Reasoning on Multi-View Line Drawings CVPR 2022 Semantically Distributed Robust Optimization for Vision-and-Language Inference ACL 2022 Semantically Stealthy Adversarial Attacks Against Segmentation Models WACV 2022 Semantic-aware Contrastive Learning for More Accurate Semantic Parsing EMNLP 2022 Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels AAAI 2022