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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)

Composing Ensembles of Pre-trained Models via Iterative Consensus ICLR 2023 Composing Task Knowledge With Modular Successor Feature Approximators ICLR 2023 Compositional Foundation Models for Hierarchical Planning NeurIPS 2023 Compositionality with Variation Reliably Emerges in Neural Networks ICLR 2023 Compositional Law Parsing with Latent Random Functions ICLR 2023 Compositional Learning-based Planning for Vision POMDPs L4DC 2023 Compositional Mathematical Encoding for Math Word Problems ACL 2023 Compositional Neural Certificates for Networked Dynamical Systems L4DC 2023 Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees NeurIPS 2023 Compositional Probabilistic and Causal Inference using Tractable Circuit Models AISTATS 2023 Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection ICLR 2023 Compositional Semantic Parsing with Large Language Models ICLR 2023 Compositional Task Representations for Large Language Models ICLR 2023 Composition and Deformance: Measuring Imageability with a Text-to-Image Model ACL 2023 CompoundPiece: Evaluating and Improving Decompounding Performance of Language Models EMNLP 2023 Compressed Video Prompt Tuning NeurIPS 2023 Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023 Compressing Context to Enhance Inference Efficiency of Large Language Models EMNLP 2023 Compressing Cross-Lingual Multi-Task Models at Qualtrics AAAI 2023 Computational Asymmetries in Robust Classification ICML 2023 Computational Language Acquisition with Theory of Mind ICLR 2023 Computationally Efficient PAC RL in POMDPs with Latent Determinism and Conditional Embeddings ICML 2023 Computational Narrative Understanding: A Big Picture Analysis EMNLP 2023 Compute-Efficient Churn Reduction for Conversational Agents EMNLP 2023 Computer says “No”: The Case Against Empathetic Conversational AI ACL 2023