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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)

Language Models are Few-Shot Learners NeurIPS 2020 Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese ACL 2020 Language Model Transformers as Evaluators for Open-domain Dialogues COLING 2020 Language (Re)modelling: Towards Embodied Language Understanding ACL 2020 Language (Technology) is Power: A Critical Survey of “Bias” in NLP ACL 2020 Language Through a Prism: A Spectral Approach for Multiscale Language Representations NeurIPS 2020 Language to Network: Conditional Parameter Adaptation with Natural Language Descriptions ACL 2020 Laplacian-Regularized Graph Bandits: Algorithms and Theoretical Analysis AISTATS 2020 LAReQA: Language-Agnostic Answer Retrieval from a Multilingual Pool EMNLP 2020 Large Scale Evaluation of Importance Maps in Automatic Speech Recognition Interspeech 2020 Large Scale Multi-Actor Generative Dialog Modeling ACL 2020 Latent Alignment of Procedural Concepts in Multimodal Recipes ACL 2020 Latent Belief Space Motion Planning under Cost, Dynamics, and Intent Uncertainty RSS 2020 Latent Emotion Memory for Multi-Label Emotion Classification AAAI 2020 Latent Tree Learning with Ordered Neurons: What Parses Does It Produce? EMNLP 2020 Latent World Models For Intrinsically Motivated Exploration NeurIPS 2020 LatRec: Recognizing Goals in Latent Space (Student Abstract) AAAI 2020 LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization COLING 2020 Layering-MCMC for Structure Learning in Bayesian Networks UAI 2020 Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio AAAI 2020 Layout-Aware Text Representations Harm Clustering Documents by Type EMNLP 2020 “LazImpa”: Lazy and Impatient neural agents learn to communicate efficiently CoNLL 2020 Lazy-CFR: fast and near-optimal regret minimization for extensive games with imperfect information ICLR 2020 LazyIter: A Fast Algorithm for Counting Markov Equivalent DAGs and Designing Experiments ICML 2020 Leading Multi-Agent Teams to Multiple Goals While Maintaining Communication RSS 2020