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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)

AttnIO: Knowledge Graph Exploration with In-and-Out Attention Flow for Knowledge-Grounded Dialogue EMNLP 2020 Attribution in Scale and Space CVPR 2020 Attribution Preservation in Network Compression for Reliable Network Interpretation NeurIPS 2020 At Which Level Should We Extract? An Empirical Analysis on Extractive Document Summarization COLING 2020 A Two-Level Interpretation of Modality in Human-Robot Dialogue COLING 2020 A Two-Stage Masked LM Method for Term Set Expansion ACL 2020 A Two-Step Approach for Implicit Event Argument Detection ACL 2020 Audio-Visual Multi-Speaker Tracking Based on the GLMB Framework Interspeech 2020 Audio-Visual Understanding of Passenger Intents for In-Cabin Conversational Agents ACL 2020 Auditing ML Models for Individual Bias and Unfairness AISTATS 2020 Augmented Natural Language for Generative Sequence Labeling EMNLP 2020 Augmenting Non-Collaborative Dialog Systems with Explicit Semantic and Strategic Dialog History ICLR 2020 Augmenting Turn-Taking Prediction with Wearable Eye Activity During Conversation Interspeech 2020 A Unified Framework for Multilingual and Code-Mixed Visual Question Answering AACL 2020 A Unified Model for Financial Event Classification, Detection and Summarization IJCAI 2020 A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search AAAI 2020 A User’s Guide to Calibrating Robotic Simulators CoRL 2020 Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning AAAI 2020 AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates AAAI 2020 Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional Semantics ACL 2020 AutoETER: Automated Entity Type Representation for Knowledge Graph Embedding EMNLP 2020 Autofocused oracles for model-based design NeurIPS 2020 Automated Construction of Bounded-Loss Imperfect-Recall Abstractions in Extensive-Form Games (Extended Abstract) IJCAI 2020 Automated Conversation Review to Surface Virtual Assistant Misunderstandings: Reducing Cost and Increasing Privacy AAAI 2020 Automated Dependence Plots UAI 2020