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Core AI

68,645 papers (13 classified directly here)

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)
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Papers (including subtopics)

Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation CVPR 2022 SymNet 2.0: Effectively handling Non-Fluents and Actions in Generalized Neural Policies for RDDL Relational MDPs UAI 2022 Symplectic Momentum Neural Networks - Using Discrete Variational Mechanics as a prior in Deep Learning L4DC 2022 Symptom Identification for Interpretable Detection of Multiple Mental Disorders on Social Media EMNLP 2022 Synchromesh: Reliable Code Generation from Pre-trained Language Models ICLR 2022 Synergy-of-Experts: Collaborate to Improve Adversarial Robustness NeurIPS 2022 SynKB: Semantic Search for Synthetic Procedures EMNLP 2022 Syntactically Robust Training on Partially-Observed Data for Open Information Extraction EMNLP 2022 Syntax-guided Contrastive Learning for Pre-trained Language Model ACL 2022 Synthesis from Satisficing and Temporal Goals AAAI 2022 Synthesis of Maximally Permissive Strategies for LTLf Specifications IJCAI 2022 Synthesizing Adversarial Visual Scenarios for Model-Based Robotic Control CoRL 2022 Synthetic Aperture Imaging With Events and Frames CVPR 2022 System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning EMNLP 2022 Systematic Inequalities in Language Technology Performance across the World’s Languages ACL 2022 Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective ACL 2022 Systematicity in GPT-3’s Interpretation of Novel English Noun Compounds EMNLP 2022 T5QL: Taming language models for SQL generation EMNLP 2022 TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval ACL 2022 TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets NeurIPS 2022 TABS: Efficient Textual Adversarial Attack for Pre-trained NL Code Model Using Semantic Beam Search EMNLP 2022 Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks ACL 2022 Tackling Temporal Questions in Natural Language Interface to Databases EMNLP 2022 TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data EMNLP 2022 TA-GATES: An Encoding Scheme for Neural Network Architectures NeurIPS 2022