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Deep Learning

78,198 papers (26 classified directly here)

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Papers (including subtopics)

Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions CVPR 2024 Improve Student’s Reasoning Generalizability through Cascading Decomposed CoTs Distillation EMNLP 2024 Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training ICML 2024 Improving Adaptivity via Over-Parameterization in Sequence Models NeurIPS 2024 Improving Adversarial Energy-Based Model via Diffusion Process ICML 2024 Improving Adversarial Robust Fairness via Anti-Bias Soft Label Distillation NeurIPS 2024 Improving Adversarial Robustness via Feature Pattern Consistency Constraint IJCAI 2024 Improving Alignment and Robustness with Circuit Breakers NeurIPS 2024 Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models EMNLP 2024 Improving Attributed Text Generation of Large Language Models via Preference Learning ACL 2024 Improving Audio Classification with Low-Sampled Microphone Input: An Empirical Study Using Model Self-Distillation Interspeech 2024 Improving Audio-Visual Segmentation with Bidirectional Generation AAAI 2024 Improving Automatic VQA Evaluation Using Large Language Models AAAI 2024 Improving Copy-oriented Text Generation via EDU Copy Mechanism COLING 2024 Improving Cross-Lingual CSR Classification Using Pretrained Transformers with Variable Selection Networks and Data Augmentation COLING 2024 Improving Depth Completion via Depth Feature Upsampling CVPR 2024 Improving Dialog Safety using Socially Aware Contrastive Learning EACL 2024 Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction AAAI 2024 Improving Diffusion Models for Authentic Virtual Try-on in the Wild ECCV 2024 Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance ICML 2024 Improving Discriminative Capability of Reward Models in RLHF Using Contrastive Learning EMNLP 2024 Improving Distinguishability of Class for Graph Neural Networks AAAI 2024 Improving Diversity of Commonsense Generation by Large Language Models via In-Context Learning EMNLP 2024 Improving Domain-Specific ASR with LLM-Generated Contextual Descriptions Interspeech 2024 Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning ICML 2024