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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)

Discovering and Overcoming Limitations of Noise-engineered Data-free Knowledge Distillation NeurIPS 2022 Discovering Design Concepts for CAD Sketches NeurIPS 2022 Discovering Generalizable Spatial Goal Representations via Graph-based Active Reward Learning ICML 2022 Discovering Interpretable Data-to-Sequence Generators AAAI 2022 Discovering Invariant Rationales for Graph Neural Networks ICLR 2022 Discovering Language-neutral Sub-networks in Multilingual Language Models EMNLP 2022 Discovering Latent Concepts Learned in BERT ICLR 2022 Discovering State and Action Abstractions for Generalized Task and Motion Planning AAAI 2022 Discrete Opinion Tree Induction for Aspect-based Sentiment Analysis ACL 2022 Discriminative Adversarial Learning for Speaker Independent Emotion Recognition Interspeech 2022 DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation EMNLP 2022 DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation AAAI 2022 Disentangled Sequence to Sequence Learning for Compositional Generalization ACL 2022 Disentangled Variational Topic Inference for Topic-Accurate Financial Report Generation EMNLP 2022 Disentanglement via Mechanism Sparsity Regularization: A New Principle for Nonlinear ICA CLeaR 2022 Disentangling Categorization in Multi-agent Emergent Communication NAACL 2022 Disentangling Causal Effects from Sets of Interventions in the Presence of Unobserved Confounders NeurIPS 2022 Disentangling Confidence Score Distribution for Out-of-Domain Intent Detection with Energy-Based Learning EMNLP 2022 Disentangling Controlled Effects for Hierarchical Reinforcement Learning CLeaR 2022 Disentangling Visual Embeddings for Attributes and Objects CVPR 2022 Disentangling Whether from When in a Neural Mixture Cure Model for Failure Time Data AISTATS 2022 Disparate Censorship & Undertesting: A Source of Label Bias in Clinical Machine Learning MLHC 2022 DiSparse: Disentangled Sparsification for Multitask Model Compression CVPR 2022 Displaying Justifications for Collective Decisions IJCAI 2022 DISSECT: Disentangled Simultaneous Explanations via Concept Traversals ICLR 2022