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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)

HOPPITY: LEARNING GRAPH TRANSFORMATIONS TO DETECT AND FIX BUGS IN PROGRAMS ICLR 2020 HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification EMNLP 2020 How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods NeurIPS 2020 How Causal Structural Knowledge Adds Decision-Support in Monitoring of Automotive Body Shop Assembly Lines IJCAI 2020 How Decoding Strategies Affect the Verifiability of Generated Text EMNLP 2020 How do Decisions Emerge across Layers in Neural Models? Interpretation with Differentiable Masking EMNLP 2020 How does BERT’s attention change when you fine-tune? An analysis methodology and a case study in negation scope ACL 2020 How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization EMNLP 2020 How Does Selective Mechanism Improve Self-Attention Networks? ACL 2020 How does This Interaction Affect Me? Interpretable Attribution for Feature Interactions NeurIPS 2020 How do fair decisions fare in long-term qualification? NeurIPS 2020 How Effective is Task-Agnostic Data Augmentation for Pretrained Transformers? EMNLP 2020 How Effectively Can Machines Defend Against Machine-Generated Fake News? An Empirical Study EMNLP 2020 How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT’s Attention COLING 2020 How Human is Machine Translationese? Comparing Human and Machine Translations of Text and Speech ACL 2020 How Private Are Commonly-Used Voting Rules? UAI 2020 How recurrent networks implement contextual processing in sentiment analysis ICML 2020 How Should an Agent Practice? AAAI 2020 How to 0wn the NAS in Your Spare Time ICLR 2020 How to Ask Good Questions? Try to Leverage Paraphrases ACL 2020 How to Make Neural Natural Language Generation as Reliable as Templates in Task-Oriented Dialogue EMNLP 2020 How to Probe Sentence Embeddings in Low-Resource Languages: On Structural Design Choices for Probing Task Evaluation CoNLL 2020 How to Train Your Deep Multi-Object Tracker CVPR 2020 How well does surprisal explain N400 amplitude under different experimental conditions? CoNLL 2020 HPCC-YNU at SemEval-2020 Task 9: A Bilingual Vector Gating Mechanism for Sentiment Analysis of Code-Mixed Text SemEval 2020