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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)

fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation AAAI 2023 FN-SSL: Full-Band and Narrow-Band Fusion for Sound Source Localization Interspeech 2023 FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space NeurIPS 2023 FocalFormer3D: Focusing on Hard Instance for 3D Object Detection ICCV 2023 Focused and Collaborative Feedback Integration for Interactive Image Segmentation CVPR 2023 Focused Transformer: Contrastive Training for Context Scaling NeurIPS 2023 Focus on Details: Online Multi-Object Tracking With Diverse Fine-Grained Representation CVPR 2023 Focus on the Core: Efficient Attention via Pruned Token Compression for Document Classification EMNLP 2023 Focus Your Attention (with Adaptive IIR Filters) EMNLP 2023 FolkScope: Intention Knowledge Graph Construction for E-commerce Commonsense Discovery ACL 2023 FOLL-E: Teaching First Order Logic to Children AAAI 2023 Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing NSDI 2023 Follow my Advice: Assume-Guarantee Approach to Task Planning with Human in the Loop RSS 2023 Follow-on Question Suggestion via Voice Hints for Voice Assistants EMNLP 2023 Follow the Knowledge: Structural Biases and Artefacts in Knowledge Grounded Dialog Datasets ACL 2023 Fooling SHAP with Stealthily Biased Sampling ICLR 2023 Forecasting Earnings Surprises from Conference Call Transcripts ACL 2023 Foreground Guidance and Multi-Layer Feature Fusion for Unsupervised Object Discovery With Transformers WACV 2023 Forget Unlearning: Towards True Data-Deletion in Machine Learning ICML 2023 Forgotten Knowledge: Examining the Citational Amnesia in NLP ACL 2023 FORK: A Bite-Sized Test Set for Probing Culinary Cultural Biases in Commonsense Reasoning Models ACL 2023 Formal Explanations of Neural Network Policies for Planning IJCAI 2023 Formalising the Robustness of Counterfactual Explanations for Neural Networks AAAI 2023 Formalizing locality for normative synaptic plasticity models NeurIPS 2023 Formally Verified SAT-Based AI Planning AAAI 2023