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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 Formal Verification of Neuro-symbolic Multi-agent Systems IJCAI 2023 Towards Foundation Models for Scientific Machine Learning: Characterizing Scaling and Transfer Behavior NeurIPS 2023 Towards Fully Quantized Neural Networks For Speech Enhancement Interspeech 2023 Towards General Error Diagnosis via Behavioral Testing in Machine Translation EMNLP 2023 Towards General Single-Utensil Food Acquisition with Human-Informed Actions CoRL 2023 Towards Generative Event Factuality Prediction ACL 2023 Towards Geospatial Foundation Models via Continual Pretraining ICCV 2023 Towards Good Practices for Missing Modality Robust Action Recognition AAAI 2023 Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images ICCV 2023 Towards Human-Like RL: Taming Non-Naturalistic Behavior in Deep RL via Adaptive Behavioral Costs in 3D Games ACML 2023 Towards Hybrid Automation by Bootstrapping Conversational Interfaces for IT Operation Tasks AAAI 2023 Towards Imperceptible Document Manipulations against Neural Ranking Models ACL 2023 Towards Improved Input Masking for Convolutional Neural Networks ICCV 2023 Towards Informative Few-Shot Prompt with Maximum Information Gain for In-Context Learning EMNLP 2023 Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation EMNLP 2023 Towards Interpretable Deep Reinforcement Learning with Human-Friendly Prototypes ICLR 2023 Towards Interpretable Mental Health Analysis with Large Language Models EMNLP 2023 Towards Interpretable Video Anomaly Detection WACV 2023 Towards Interpreting and Utilizing Symmetry Property in Adversarial Examples AAAI 2023 Towards large language model-based personal agents in the enterprise: Current trends and open problems EMNLP 2023 Towards Last-layer Retraining for Group Robustness with Fewer Annotations NeurIPS 2023 Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network AAAI 2023 Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages ACL 2023 Towards LLM-driven Dialogue State Tracking EMNLP 2023 Towards Long-delayed Sparsity: Learning a Better Transformer through Reward Redistribution IJCAI 2023