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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)

Counterfactual Credit Assignment in Model-Free Reinforcement Learning ICML 2021 Counterfactual Explanations for Oblique Decision Trees:Exact, Efficient Algorithms AAAI 2021 Counterfactual Explanations for Optimization-Based Decisions in the Context of the GDPR IJCAI 2021 Counterfactual Explanations in Sequential Decision Making Under Uncertainty NeurIPS 2021 Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder AAAI 2021 Counterfactual Generative Networks ICLR 2021 Counterfactual Interventions Reveal the Causal Effect of Relative Clause Representations on Agreement Prediction CoNLL 2021 Counterfactual Invariance to Spurious Correlations in Text Classification NeurIPS 2021 Counterfactual Matters: Intrinsic Probing For Dialogue State Tracking EMNLP 2021 Counterfactual Maximum Likelihood Estimation for Training Deep Networks NeurIPS 2021 Counterfactual Representation Learning with Balancing Weights AISTATS 2021 Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network NAACL 2021 Counterfactual VQA: A Cause-Effect Look at Language Bias CVPR 2021 Counterfactual Zero-Shot and Open-Set Visual Recognition CVPR 2021 Countering the Influence of Essay Length in Neural Essay Scoring EMNLP 2021 Coupling Context Modeling with Zero Pronoun Recovering for Document-Level Natural Language Generation EMNLP 2021 Coupon Design in Advertising Systems AAAI 2021 COVR: A Test-Bed for Visually Grounded Compositional Generalization with Real Images EMNLP 2021 Crafting Adversarial Examples for Neural Machine Translation ACL 2021 Creating Interpretable Data-Driven Approaches for Remote Health Monitoring AAAI 2021 Credal Self-Supervised Learning NeurIPS 2021 CRFR: Improving Conversational Recommender Systems via Flexible Fragments Reasoning on Knowledge Graphs EMNLP 2021 Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO EACL 2021 CROCS: Clustering and Retrieval of Cardiac Signals Based on Patient Disease Class, Sex, and Age NeurIPS 2021 CrossCLR: Cross-Modal Contrastive Learning for Multi-Modal Video Representations ICCV 2021