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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

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11
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2000
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Papers (including subtopics)

Generative Adversarial Neural Architecture Search IJCAI 2021 Generative Causal Explanations for Graph Neural Networks ICML 2021 Generative Classifiers as a Basis for Trustworthy Image Classification CVPR 2021 Generative Imagination Elevates Machine Translation NAACL 2021 Generative Interventions for Causal Learning CVPR 2021 Generative Language-Grounded Policy in Vision-and-Language Navigation with Bayes' Rule ICLR 2021 Generative Occupancy Fields for 3D Surface-Aware Image Synthesis NeurIPS 2021 Generative Partial Visual-Tactile Fused Object Clustering AAAI 2021 Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification CVPR 2021 Generic Attention-Model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers ICCV 2021 Generic Neural Architecture Search via Regression NeurIPS 2021 Generic resources are what you need: Style transfer tasks without task-specific parallel training data EMNLP 2021 GeneSis: A Generative Approach to Substitutes in Context EMNLP 2021 GENSYNTH: Synthesizing Datalog Programs without Language Bias AAAI 2021 Geo-BERT Pre-training Model for Query Rewriting in POI Search EMNLP 2021 Geometry-aware Bayesian Optimization in Robotics using Riemannian Matérn Kernels CoRL 2021 GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving CVPR 2021 GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval EMNLP 2021 Getting a CLUE: A Method for Explaining Uncertainty Estimates ICLR 2021 GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation EMNLP 2021 GHOST at SemEval-2021 Task 5: Is explanation all you need? SemEval 2021 GhostBERT: Generate More Features with Cheap Operations for BERT ACL 2021 GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection Method EMNLP 2021 Gifsplanation via Latent Shift: A Simple Autoencoder Approach to Counterfactual Generation for Chest X-rays MIDL 2021 GIFT: Generalizable Interaction-aware Functional Tool Affordances without Labels RSS 2021