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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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'25

Papers (including subtopics)

EpiK-Eval: Evaluation for Language Models as Epistemic Models EMNLP 2023 EqMotion: Equivariant Multi-Agent Motion Prediction With Invariant Interaction Reasoning CVPR 2023 EQ-Net: Elastic Quantization Neural Networks ICCV 2023 Equal Improvability: A New Fairness Notion Considering the Long-term Impact ICLR 2023 Equilibria of Fully Decentralized Learning in Networked Systems L4DC 2023 Equi-Tuning: Group Equivariant Fine-Tuning of Pretrained Models AAAI 2023 Equivariance with Learned Canonicalization Functions ICML 2023 Equivariant Message Passing Neural Network for Crystal Material Discovery AAAI 2023 Equivariant Motion Manifold Primitives CoRL 2023 Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics NeurIPS 2023 Equivariant Shape-Conditioned Generation of 3D Molecules for Ligand-Based Drug Design ICLR 2023 Equivariant Similarity for Vision-Language Foundation Models ICCV 2023 Equivariant Spatio-Temporal Attentive Graph Networks to Simulate Physical Dynamics NeurIPS 2023 ERASER: AdvERsArial Sensitive Element Remover for Image Privacy Preservation AAAI 2023 ERM-KTP: Knowledge-Level Machine Unlearning via Knowledge Transfer CVPR 2023 ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages ACL 2023 ERNIE-ViLG 2.0: Improving Text-to-Image Diffusion Model With Knowledge-Enhanced Mixture-of-Denoising-Experts CVPR 2023 Erratum to: 3D-TOGO: Towards Text-Guided Cross-Category 3D Object Generation AAAI 2023 Error Detection for Text-to-SQL Semantic Parsing EMNLP 2023 Error Discovery By Clustering Influence Embeddings NeurIPS 2023 Escaping saddle points in zeroth-order optimization: the power of two-point estimators ICML 2023 ESCHER: Eschewing Importance Sampling in Games by Computing a History Value Function to Estimate Regret ICLR 2023 ESL-SNNs: An Evolutionary Structure Learning Strategy for Spiking Neural Networks AAAI 2023 ES-Mask: Evolutionary Strip Mask for Explaining Time Series Prediction (Student Abstract) AAAI 2023 ESPVR: Entity Spans Position Visual Regions for Multimodal Named Entity Recognition EMNLP 2023