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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)

Noise Robust Core-stable Coalitions of Hedonic Games ACML 2022 Noise-robust Cross-modal Interactive Learning with Text2Image Mask for Multi-modal Neural Machine Translation COLING 2022 Noisy Channel Language Model Prompting for Few-Shot Text Classification ACL 2022 NOMAD: Nonlinear Manifold Decoders for Operator Learning NeurIPS 2022 Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LM Interspeech 2022 Non-Autoregressive Machine Translation: It’s Not as Fast as it Seems NAACL 2022 Non-Autoregressive Models for Fast Sequence Generation EMNLP 2022 Non-Cheating Teaching Revisited: A New Probabilistic Machine Teaching Model IJCAI 2022 Non-Convex Bilevel Games with Critical Point Selection Maps NeurIPS 2022 Noninvasive Lung Cancer Early Detection via Deep Methylation Representation Learning AAAI 2022 Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings NeurIPS 2022 Non-Local Attention Improves Description Generation for Retinal Images WACV 2022 Non-Markovian Reward Modelling from Trajectory Labels via Interpretable Multiple Instance Learning NeurIPS 2022 Non-neural Models Matter: a Re-evaluation of Neural Referring Expression Generation Systems ACL 2022 Nonparametric adaptive control and prediction: theory and randomized algorithms JMLR 2022 Non-parametric Inference Adaptive to Intrinsic Dimension CLeaR 2022 Non-parametric inference of relational dependence UAI 2022 Nonparametric Uncertainty Quantification for Single Deterministic Neural Network NeurIPS 2022 Non-Probability Sampling Network for Stochastic Human Trajectory Prediction CVPR 2022 Non-Semantic Evaluation of Image Forensics Tools: Methodology and Database WACV 2022 Nonstationary Dual Averaging and Online Fair Allocation NeurIPS 2022 Non-stationary Online Learning with Memory and Non-stochastic Control AISTATS 2022 Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization ICLR 2022 Non-Uniform Adversarially Robust Pruning AutoML 2022 Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation CVPR 2022