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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)

Improving Tree-Structured Decoder Training for Code Generation via Mutual Learning AAAI 2021 Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization UAI 2021 Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference EMNLP 2021 Improving VAEs' Robustness to Adversarial Attack ICLR 2021 Improving Video Captioning With Temporal Composition of a Visual-Syntactic Embedding WACV 2021 IMU-Assisted Learning of Single-View Rolling Shutter Correction CoRL 2021 Incentivized Bandit Learning with Self-Reinforcing User Preferences ICML 2021 Incentivizing Compliance with Algorithmic Instruments ICML 2021 Incentivizing Truthfulness Through Audits in Strategic Classification AAAI 2021 Including Signed Languages in Natural Language Processing ACL 2021 Inconsistency Matters: A Knowledge-guided Dual-inconsistency Network for Multi-modal Rumor Detection EMNLP 2021 Incorporating causal graphical prior knowledge into predictive modeling via simple data augmentation UAI 2021 Incorporating Circumstances into Narrative Event Prediction EMNLP 2021 Incorporating Queueing Dynamics into Schedule-Driven Traffic Control IJCAI 2021 Incorporating Residual and Normalization Layers into Analysis of Masked Language Models EMNLP 2021 Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features ACL 2021 Increasing Iterate Averaging for Solving Saddle-Point Problems AAAI 2021 Increasing Robustness to Spurious Correlations using Forgettable Examples EACL 2021 Indecision Modeling AAAI 2021 In Defense of Scene Graphs for Image Captioning ICCV 2021 Independent mechanism analysis, a new concept? NeurIPS 2021 IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation EMNLP 2021 IndoNLI: A Natural Language Inference Dataset for Indonesian EMNLP 2021 Indoor Lighting Estimation Using an Event Camera CVPR 2021 Inducing Transformer’s Compositional Generalization Ability via Auxiliary Sequence Prediction Tasks EMNLP 2021