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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)

The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation ICML 2020 The IPN-CIC team system submission for the WMT 2020 similar language task EMNLP 2020 The Kalai-Smorodinsky solution for many-objective Bayesian optimization JMLR 2020 The Knowledge Within: Methods for Data-Free Model Compression CVPR 2020 The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models EMNLP 2020 The Logical Expressiveness of Graph Neural Networks ICLR 2020 The Nonstochastic Control Problem ALT 2020 Theory and Evaluation Metrics for Learning Disentangled Representations ICLR 2020 Theory-Based Causal Transfer:Integrating Instance-Level Induction and Abstract-Level Structure Learning AAAI 2020 Theory of Mind with Guilt Aversion Facilitates Cooperative Reinforcement Learning ACML 2020 There and Back Again: Revisiting Backpropagation Saliency Methods CVPR 2020 The Right Tool for the Job: Matching Model and Instance Complexities ACL 2020 The Role of Reentrancies in Abstract Meaning Representation Parsing EMNLP 2020 The route to chaos in routing games: When is price of anarchy too optimistic? NeurIPS 2020 The RUTH Gripper: Systematic Object-Invariant Prehensile In-Hand Manipulation via Reconfigurable Underactuation RSS 2020 The Sensitivity of Language Models and Humans to Winograd Schema Perturbations ACL 2020 The Shapley Taylor Interaction Index ICML 2020 The SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion ACL 2020 The SIGMORPHON 2020 Shared Task on Unsupervised Morphological Paradigm Completion ACL 2020 The “Sound of Silence” in EEG — Cognitive Voice Activity Detection Interspeech 2020 The State and Fate of Linguistic Diversity and Inclusion in the NLP World ACL 2020 The Summary Loop: Learning to Write Abstractive Summaries Without Examples ACL 2020 The Surprising Power of Hiding Information in Facility Location AAAI 2020 The UniMelb Submission to the SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection ACL 2020 The Unreasonable Effectiveness of Inverse Reinforcement Learning in Advancing Cancer Research AAAI 2020