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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
'5
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'25

Papers (including subtopics)

Towards Data-Free Model Stealing in a Hard Label Setting CVPR 2022 Towards Debiasing DNN Models from Spurious Feature Influence AAAI 2022 Towards Deployment-Efficient Reinforcement Learning: Lower Bound and Optimality ICLR 2022 Towards Detecting Political Bias in Hindi News Articles ACL 2022 Towards Disentangling Information Paths with Coded ResNeXt NeurIPS 2022 Towards Diverse and Natural Scene-Aware 3D Human Motion Synthesis CVPR 2022 Towards Driving-Oriented Metric for Lane Detection Models CVPR 2022 Towards Efficient Data Free Black-Box Adversarial Attack CVPR 2022 Towards Efficient Dialogue Pre-training with Transferable and Interpretable Latent Structure EMNLP 2022 Towards Efficient NLP: A Standard Evaluation and A Strong Baseline NAACL 2022 Towards Efficient Post-training Quantization of Pre-trained Language Models NeurIPS 2022 Towards End-to-End Unified Scene Text Detection and Layout Analysis CVPR 2022 Towards Error-Resilient Neural Speech Coding Interspeech 2022 Towards Evaluating the Robustness of Neural Networks Learned by Transduction ICLR 2022 Towards Explainable Action Recognition by Salient Qualitative Spatial Object Relation Chains AAAI 2022 Towards Explainable Evaluation of Language Models on the Semantic Similarity of Visual Concepts COLING 2022 Towards Explaining Subjective Ground of Individuals on Social Media EMNLP 2022 Towards Exploiting Sticker for Multimodal Sentiment Analysis in Social Media: A New Dataset and Baseline COLING 2022 Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach (Extended Abstract) IJCAI 2022 Towards Fair Dataset Distillation for Text Classification EMNLP 2022 Towards Fair Evaluation of Dialogue State Tracking by Flexible Incorporation of Turn-level Performances ACL 2022 Towards Few-Shot Identification of Morality Frames using In-Context Learning EMNLP 2022 Towards Fine-Grained Reasoning for Fake News Detection AAAI 2022 Towards General Function Approximation in Zero-Sum Markov Games ICLR 2022 Towards Generalized Open Information Extraction EMNLP 2022