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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)

Provably expressive temporal graph networks NeurIPS 2022 Provably Filtering Exogenous Distractors using Multistep Inverse Dynamics ICLR 2022 Proving Theorems using Incremental Learning and Hindsight Experience Replay ICML 2022 Proximal Learning With Opponent-Learning Awareness NeurIPS 2022 Proxy-based Zero-Shot Entity Linking by Effective Candidate Retrieval EMNLP 2022 Pruning Adatperfusion with Lottery Ticket Hypothesis NAACL 2022 Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization IJCAI 2022 Pruning has a disparate impact on model accuracy NeurIPS 2022 Pruning Neural Networks via Coresets and Convex Geometry: Towards No Assumptions NeurIPS 2022 Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression IJCAI 2022 Psycholinguistic Diagnosis of Language Models’ Commonsense Reasoning ACL 2022 (Psycho-)Linguistic Features Meet Transformer Models for Improved Explainable and Controllable Text Simplification EMNLP 2022 Psychology-guided Controllable Story Generation COLING 2022 P-Tuning: Prompt Tuning Can Be Comparable to Fine-tuning Across Scales and Tasks ACL 2022 Public Data-Assisted Mirror Descent for Private Model Training ICML 2022 Public Signaling in Bayesian Ad Auctions IJCAI 2022 Pure Transformers are Powerful Graph Learners NeurIPS 2022 Pushing the limits of fairness impossibility: Who's the fairest of them all? NeurIPS 2022 Pushing the Limits of Rule Reasoning in Transformers through Natural Language Satisfiability AAAI 2022 Putting the Con in Context: Identifying Deceptive Actors in the Game of Mafia NAACL 2022 Putting WordNet’s Dictionary Examples in the Context of Definition Modelling: An Empirical Analysis AACL 2022 PyMiceTracking: An Open-Source Toolbox for Real-Time Behavioral Neuroscience Experiments CVPR 2022 Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation CVPR 2022 Pyramid Attention For Source Code Summarization NeurIPS 2022 Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection ACL 2022