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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis COLING 2024 In-context Exploration-Exploitation for Reinforcement Learning ICLR 2024 In-Context Former: Lightning-fast Compressing Context for Large Language Model EMNLP 2024 In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization ICML 2024 In-context Learning and Gradient Descent Revisited NAACL 2024 In-Context Learning of a Linear Transformer Block: Benefits of the MLP Component and One-Step GD Initialization NeurIPS 2024 In-context Learning on Function Classes Unveiled for Transformers ICML 2024 In-Context Learning State Vector with Inner and Momentum Optimization NeurIPS 2024 In-Context Learning with Representations: Contextual Generalization of Trained Transformers NeurIPS 2024 In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness NeurIPS 2024 In-Context Matting CVPR 2024 Incorporating Exponential Smoothing into MLP: a Simple but Effective Sequence Model NAACL 2024 Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition CVPR 2024 Incorporating Lexical and Syntactic Knowledge for Unsupervised Cross-Lingual Transfer COLING 2024 Incorporating Precedents for Legal Judgement Prediction on European Court of Human Rights Cases EMNLP 2024 Incorporating probabilistic domain knowledge into deep multiple instance learning ICML 2024 Incorporating Syntax and Lexical Knowledge to Multilingual Sentiment Classification on Large Language Models ACL 2024 Incorporating Word Count Information into Depression Risk Summary Generation: INF@UoS CLPsych 2024 Submission EACL 2024 Increasing Biases Can Be More Efficient Than Increasing Weights WACV 2024 Incremental pre-training from smaller language models ACL 2024 Incremental Randomized Smoothing Certification ICLR 2024 Incremental Residual Concept Bottleneck Models CVPR 2024 In defense of parameter sharing for model-compression ICLR 2024 In Defense of Structural Sparse Adapters for Concurrent LLM Serving EMNLP 2024 Independency Adversarial Learning for Cross-Modal Sound Separation AAAI 2024