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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
'5
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'25

Papers (including subtopics)

Disentangled Counterfactual Learning for Physical Audiovisual Commonsense Reasoning NeurIPS 2023 Disentangled Representation for Causal Mediation Analysis AAAI 2023 Disentangled Wasserstein Autoencoder for T-Cell Receptor Engineering NeurIPS 2023 Disentanglement of Latent Representations via Causal Interventions IJCAI 2023 Disentanglement with Biological Constraints: A Theory of Functional Cell Types ICLR 2023 Disentangling Extraction and Reasoning in Multi-hop Spatial Reasoning EMNLP 2023 Disentangling Orthogonal Planes for Indoor Panoramic Room Layout Estimation With Cross-Scale Distortion Awareness CVPR 2023 Disentangling Reafferent Effects by Doing Nothing AAAI 2023 Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers ACL 2023 Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning ICCV 2023 Disentangling the Linguistic Competence of Privacy-Preserving BERT EMNLP 2023 Disentangling Voice and Content with Self-Supervision for Speaker Recognition NeurIPS 2023 DisentQA: Disentangling Parametric and Contextual Knowledge with Counterfactual Question Answering ACL 2023 DISeR: Designing Imaging Systems with Reinforcement Learning ICCV 2023 Disfluency Generation for More Robust Dialogue Systems ACL 2023 Disfluent Cues for Enhanced Speech Understanding in Large Language Models EMNLP 2023 DisorBERT: A Double Domain Adaptation Model for Detecting Signs of Mental Disorders in Social Media ACL 2023 Disparate Impact in Differential Privacy from Gradient Misalignment ICLR 2023 DiSProD: Differentiable Symbolic Propagation of Distributions for Planning IJCAI 2023 Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning NeurIPS 2023 Dissecting Recall of Factual Associations in Auto-Regressive Language Models EMNLP 2023 Distance Weighted Supervised Learning for Offline Interaction Data ICML 2023 DISTANT: Distantly Supervised Entity Span Detection and Classification ACL 2023 Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation CoRL 2023 Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning ICCV 2023