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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)

DetAIL: A Tool to Automatically Detect and Analyze Drift in Language AAAI 2023 Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score ICML 2023 Detecting Adversarial Directions in Deep Reinforcement Learning to Make Robust Decisions ICML 2023 Detecting Adversarial Samples through Sharpness of Loss Landscape ACL 2023 Detecting and Grounding Important Characters in Visual Stories AAAI 2023 Detecting and Grounding Multi-Modal Media Manipulation CVPR 2023 Detecting and Repairing Deviated Outputs of Compressed Models ACML 2023 Detecting Argumentative Fallacies in the Wild: Problems and Limitations of Large Language Models EMNLP 2023 Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency CVPR 2023 Detecting Backdoors in Pre-Trained Encoders CVPR 2023 Detecting Edit Failures In Large Language Models: An Improved Specificity Benchmark ACL 2023 Detecting Everything in the Open World: Towards Universal Object Detection CVPR 2023 Detecting Human-Object Contact in Images CVPR 2023 Detecting Out-of-distribution Data through In-distribution Class Prior ICML 2023 Detecting Sources of Healthcare Associated Infections AAAI 2023 Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks EMNLP 2023 Detecting Syntactic Change with Pre-trained Transformer Models EMNLP 2023 Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding CVPR 2023 Detection of Emotional Hotspots in Meetings Using a Cross-Corpus Approach Interspeech 2023 Detection of Laughter and Screaming Using the Attention and CTC Models Interspeech 2023 Detection of Man-in-the-Middle Attacks in Model-Free Reinforcement Learning L4DC 2023 Detection of Multiple Mental Disorders from Social Media with Two-Stream Psychiatric Experts EMNLP 2023 Detection of Out-of-Distribution Samples Using Binary Neuron Activation Patterns CVPR 2023 DetectiveRedasers at ArAIEval Shared Task: Leveraging Transformer Ensembles for Arabic Deception Detection EMNLP 2023 DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text EMNLP 2023