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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)

Only Train Once: A One-Shot Neural Network Training And Pruning Framework NeurIPS 2021 On Model Calibration for Long-Tailed Object Detection and Instance Segmentation NeurIPS 2021 On Path Integration of Grid Cells: Group Representation and Isotropic Scaling NeurIPS 2021 On Position Embeddings in BERT ICLR 2021 On Pursuit of Designing Multi-modal Transformer for Video Grounding EMNLP 2021 On Query-efficient Planning in MDPs under Linear Realizability of the Optimal State-value Function COLT 2021 On Recovering from Modeling Errors Using Testing Bayesian Networks ICML 2021 On Reinforcement Learning with Adversarial Corruption and Its Application to Block MDP ICML 2021 On Releasing Annotator-Level Labels and Information in Datasets EMNLP 2021 On Sample Based Explanation Methods for NLP: Faithfulness, Efficiency and Semantic Evaluation ACL 2021 On Smoother Attributions using Neural Stochastic Differential Equations IJCAI 2021 On Success and Simplicity: A Second Look at Transferable Targeted Attacks NeurIPS 2021 On the Approximation of Nash Equilibria in Sparse Win-Lose Multi-player Games AAAI 2021 On the Benefit of Syntactic Supervision for Cross-lingual Transfer in Semantic Role Labeling EMNLP 2021 On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search EACL 2021 On the Challenges of Evaluating Compositional Explanations in Multi-Hop Inference: Relevance, Completeness, and Expert Ratings EMNLP 2021 On the Complexity of Finding Justifications for Collective Decisions AAAI 2021 On the Convergence of Prior-Guided Zeroth-Order Optimization Algorithms NeurIPS 2021 On the Critical Role of Conventions in Adaptive Human-AI Collaboration ICLR 2021 On the differences between BERT and MT encoder spaces and how to address them in translation tasks ACL 2021 On the Difficulty of Segmenting Words with Attention EMNLP 2021 On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation ACL 2021 On the effects of quantisation on model uncertainty in Bayesian neural networks UAI 2021 On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study ACL 2021 On the Evaluation of Vision-and-Language Navigation Instructions EACL 2021