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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)

Towards Faithfully Interpretable NLP Systems: How Should We Define and Evaluate Faithfulness? ACL 2020 Towards Fine-Grained Temporal Network Representation via Time-Reinforced Random Walk AAAI 2020 Towards Fully 8-bit Integer Inference for the Transformer Model IJCAI 2020 Towards Global Explanations of Convolutional Neural Networks With Concept Attribution CVPR 2020 Towards Grounding of Formulae EMNLP 2020 Towards Hands-Free Visual Dialog Interactive Recommendation AAAI 2020 Towards Hierarchical Importance Attribution: Explaining Compositional Semantics for Neural Sequence Models ICLR 2020 Towards High-Level Intrinsic Exploration in Reinforcement Learning IJCAI 2020 Toward Silent Paralinguistics: Speech-to-EMG — Retrieving Articulatory Muscle Activity from Speech Interspeech 2020 Towards Inheritable Models for Open-Set Domain Adaptation CVPR 2020 Towards Instance-Level Parser Selection for Cross-Lingual Transfer of Dependency Parsers COLING 2020 Towards Interpretable Clinical Diagnosis with Bayesian Network Ensembles Stacked on Entity-Aware CNNs ACL 2020 Towards Interpretable Natural Language Understanding with Explanations as Latent Variables NeurIPS 2020 Towards Interpreting BERT for Reading Comprehension Based QA EMNLP 2020 Towards Interpreting Deep Learning Models to Understand Loss of Speech Intelligibility in Speech Disorders — Step 1: CNN Model-Based Phone Classification Interspeech 2020 Towards Knowledge-Augmented Visual Question Answering COLING 2020 Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance CVPR 2020 Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training CVPR 2020 Towards Logically Centralized Interdomain Routing NSDI 2020 Towards Low-Resource Semi-Supervised Dialogue Generation with Meta-Learning EMNLP 2020 Towards Modeling Revision Requirements in wikiHow Instructions EMNLP 2020 Towards More Accurate Uncertainty Estimation In Text Classification EMNLP 2020 Towards More Practical Adversarial Attacks on Graph Neural Networks NeurIPS 2020 Towards Multimodal Simultaneous Neural Machine Translation EMNLP 2020 Towards neural networks that provably know when they don't know ICLR 2020