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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)

How General-Purpose Is a Language Model? Usefulness and Safety with Human Prompters in the Wild AAAI 2022 How Good Is Your Explanation? Algorithmic Stability Measures To Assess the Quality of Explanations for Deep Neural Networks WACV 2022 How Large Language Models are Transforming Machine-Paraphrase Plagiarism EMNLP 2022 How Long Is Enough? Exploring the Optimal Intervals of Long-Range Clinical Note Language Modeling EMNLP 2022 How Many Observations Are Enough? Knowledge Distillation for Trajectory Forecasting CVPR 2022 How Much Can CLIP Benefit Vision-and-Language Tasks? ICLR 2022 How Much Do Modifications to Transformer Language Models Affect Their Ability to Learn Linguistic Knowledge? ACL 2022 How Powerful are K-hop Message Passing Graph Neural Networks NeurIPS 2022 How Pre-trained Language Models Capture Factual Knowledge? A Causal-Inspired Analysis ACL 2022 How Private Is Your RL Policy? An Inverse RL Based Analysis Framework AAAI 2022 How Sampling Impacts the Robustness of Stochastic Neural Networks NeurIPS 2022 How Should We Vote? A Comparison of Voting Systems within Social Networks IJCAI 2022 How to Adapt Pre-trained Vision-and-Language Models to a Text-only Input? COLING 2022 How to Find a Good Explanation for Clustering? AAAI 2022 How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data ICLR 2022 How to Parse a Creole: When Martinican Creole Meets French COLING 2022 How to Reduce Action Space for Planning Domains? (Student Abstract) AAAI 2022 How to Represent Context Better? An Empirical Study on Context Modeling for Multi-turn Response Selection EMNLP 2022 How to Robustify Black-Box ML Models? A Zeroth-Order Optimization Perspective ICLR 2022 How to Stay Curious while avoiding Noisy TVs using Aleatoric Uncertainty Estimation ICML 2022 How to Stop an Avalanche? JoDeM: Joint Decision Making through Compare and Contrast for Dialog State Tracking EMNLP 2022 How to talk so AI will learn: Instructions, descriptions, and autonomy NeurIPS 2022 How (Un)Faithful is Attention? EMNLP 2022 How Universal is Metonymy? Results from a Large-Scale Multilingual Analysis NAACL 2022 How well can Text-to-Image Generative Models understand Ethical Natural Language Interventions? EMNLP 2022