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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)

An Efficient Pessimistic-Optimistic Algorithm for Stochastic Linear Bandits with General Constraints NeurIPS 2021 An Efficient Transformer Decoder with Compressed Sub-layers AAAI 2021 An Empirical Comparison of Instance Attribution Methods for NLP NAACL 2021 An Empirical Study on Adversarial Attack on NMT: Languages and Positions Matter ACL 2021 An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games EACL 2021 An End-to-End Approach for Full Bridging Resolution EMNLP 2021 An End-to-End Network for Emotion-Cause Pair Extraction EACL 2021 An End-to-End Solution for Named Entity Recognition in eCommerce Search AAAI 2021 A Nested Named Entity Recognition Model Based on Multi-agent Communication Mechanism (Student Abstract) AAAI 2021 A Neural Graph-based Local Coherence Model EMNLP 2021 A Neural Network Auction For Group Decision Making Over a Continuous Space IJCAI 2021 A Neural Transition-based Model for Argumentation Mining ACL 2021 A New Approach to Overgenerating and Scoring Abstractive Summaries NAACL 2021 A New Bounding Scheme for Influence Diagrams AAAI 2021 A New Formalism, Method and Open Issues for Zero-Shot Coordination ICML 2021 A New View of Multi-modal Language Analysis: Audio and Video Features as Text “Styles” EACL 2021 An Exploration of the Acoustic Space of Rhotics and Laterals in Ruruuli Interspeech 2021 An IDR Framework of Opportunities and Barriers between HCI and NLP EACL 2021 An in-depth look at Euclidean disk embeddings for structure preserving parsing EMNLP 2021 An Information-Theoretic Approach on Causal Structure Learning for Heterogeneous Data Characteristics of Real-World Scenarios IJCAI 2021 An Integrated Framework for Two-Pass Personalized Voice Trigger Interspeech 2021 An Intelligent Assistant for Problem Behavior Management AAAI 2021 An Interpretable Framework for Drug-Target Interaction with Gated Cross Attention MLHC 2021 An Investigation of Language Model Interpretability via Sentence Editing EMNLP 2021 An Iterative Multi-Knowledge Transfer Network for Aspect-Based Sentiment Analysis EMNLP 2021