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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)

Exploring the Use of Foundation Models for Named Entity Recognition and Lemmatization Tasks in Slavic Languages EACL 2023 Exploring Transformers as Compact, Data-efficient Language Models CoNLL 2023 Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations NeurIPS 2023 ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook EMNLP 2023 Exponential Lower Bounds for Fictitious Play in Potential Games NeurIPS 2023 Exposing Attention Glitches with Flip-Flop Language Modeling NeurIPS 2023 ExpressivE: A Spatio-Functional Embedding For Knowledge Graph Completion ICLR 2023 Expressive Monotonic Neural Networks ICLR 2023 Expressive Optimal Temporal Planning via Optimization Modulo Theory AAAI 2023 Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions JMLR 2023 Extension Multi30K: Multimodal Dataset for Integrated Vision and Language Research in Ukrainian EACL 2023 Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework AAAI 2023 Extracting or Guessing? Improving Faithfulness of Event Temporal Relation Extraction EACL 2023 Extracting Reward Functions from Diffusion Models NeurIPS 2023 Extracting Robust Models with Uncertain Examples ICLR 2023 Extracting Semantic-Dynamic Features for Long-Term Stable Brain Computer Interface AAAI 2023 Extraction and Recovery of Spatio-Temporal Structure in Latent Dynamics Alignment with Diffusion Models NeurIPS 2023 Extractive Summarization via ChatGPT for Faithful Summary Generation EMNLP 2023 Extrapolating Multilingual Understanding Models as Multilingual Generators EMNLP 2023 Extrapolative Controlled Sequence Generation via Iterative Refinement ICML 2023 Extremely Simple Activation Shaping for Out-of-Distribution Detection ICLR 2023 Extreme Q-Learning: MaxEnt RL without Entropy ICLR 2023 Eyes Show the Way: Modelling Gaze Behaviour for Hallucination Detection EMNLP 2023 F2A2: Flexible Fully-decentralized Approximate Actor-critic for Cooperative Multi-agent Reinforcement Learning JMLR 2023 FAA: Fine-grained Attention Alignment for Cascade Document Ranking ACL 2023