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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)

Noise-Robust Fine-Tuning of Pretrained Language Models via External Guidance EMNLP 2023 Noise-Robust Semi-Supervised Learning for Distantly Supervised Relation Extraction EMNLP 2023 Noisy Correspondence Learning With Meta Similarity Correction CVPR 2023 Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis EMNLP 2023 NoisywikiHow: A Benchmark for Learning with Real-world Noisy Labels in Natural Language Processing ACL 2023 Non-Autoregressive Math Word Problem Solver with Unified Tree Structure EMNLP 2023 Non-Contrastive Learning Meets Language-Image Pre-Training CVPR 2023 Non-Euclidean Motion Planning with Graphs of Geodesically-Convex Sets RSS 2023 NonFactS: NonFactual Summary Generation for Factuality Evaluation in Document Summarization ACL 2023 Nonlinear Causal Discovery with Latent Confounders ICML 2023 Nonlinear Controllability and Function Representation by Neural Stochastic Differential Equations L4DC 2023 Non-Obvious Manipulability in Extensive-Form Mechanisms: The Revelation Principle for Single-Parameter Agents IJCAI 2023 Non-parallel Accent Transfer based on Fine-grained Controllable Accent Modelling EMNLP 2023 Nonparametric Decoding for Generative Retrieval ACL 2023 Non-parametric identifiability and sensitivity analysis of synthetic control models CLeaR 2023 Nonparametric Identifiability of Causal Representations from Unknown Interventions NeurIPS 2023 Nonparametric Teaching for Multiple Learners NeurIPS 2023 Non-Repeatable Experiments and Non-Reproducible Results: The Reproducibility Crisis in Human Evaluation in NLP ACL 2023 Non-Sequential Graph Script Induction via Multimedia Grounding ACL 2023 Nonstationary Bandit Learning via Predictive Sampling AISTATS 2023 Non-Stationary Bandits with Auto-Regressive Temporal Dependency NeurIPS 2023 No offence, Bert - I insult only humans! Multilingual sentence-level attack on toxicity detection networks EMNLP 2023 No-regret Algorithms for Fair Resource Allocation NeurIPS 2023 No-Regret Learning in Dynamic Competition with Reference Effects Under Logit Demand NeurIPS 2023 No-Regret Online Prediction with Strategic Experts NeurIPS 2023