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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

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11
99
273
4,063
17,181
2000
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Papers (including subtopics)

FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension EMNLP 2024 FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning IJCAI 2024 Fine-Grained Alignment for Cross-Modal Recipe Retrieval WACV 2024 Fine-Grained and Interpretable Neural Speech Editing Interspeech 2024 Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement Learning ICML 2024 Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates EMNLP 2024 Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention ICML 2024 Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions ACL 2024 Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024 Fine-Grained Prediction of Reading Comprehension from Eye Movements EMNLP 2024 FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models CVPR 2024 FineRadScore: A Radiology Report Line-by-Line Evaluation Technique Generating Corrections with Severity Scores MLHC 2024 Finer: Investigating and Enhancing Fine-Grained Visual Concept Recognition in Large Vision Language Models EMNLP 2024 Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction AAAI 2024 FineStyle: Fine-grained Controllable Style Personalization for Text-to-image Models NeurIPS 2024 Fine-Tuned Language Models Generate Stable Inorganic Materials as Text ICLR 2024 Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To! ICLR 2024 Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024 Fine-Tuning ASR models for Very Low-Resource Languages: A Study on Mvskoke ACL 2024 Fine-tuning CLIP Text Encoders with Two-step Paraphrasing EACL 2024 Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking ICLR 2024 Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation EMNLP 2024 Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward AAAI 2024 Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow EMNLP 2024 Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning NeurIPS 2024