conftrace_

Deep Learning

78,198 papers (26 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Learning Types (32,670) Architectures (30,950) Models (20,488) Techniques (9,432) Optimization & Theory (7,804) Application Areas (273)

Papers per year

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5,368

6,434

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Papers (including subtopics)

MIST: Medical Image Segmentation Transformer With Convolutional Attention Mixing (CAM) Decoder WACV 2024 Mitigate Extrinsic Social Bias in Pre-trained Language Models via Continuous Prompts Adjustment EMNLP 2024 Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor NeurIPS 2024 Mitigating Biases in Blackbox Feature Extractors for Image Classification Tasks NeurIPS 2024 Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models ACL 2024 Mitigating Emergent Robustness Degradation while Scaling Graph Learning ICLR 2024 Mitigating Frequency Bias and Anisotropy in Language Model Pre-Training with Syntactic Smoothing EMNLP 2024 Mitigating Hallucination in Fictional Character Role-Play EMNLP 2024 Mitigating Hallucinations in Large Vision-Language Models (LVLMs) via Language-Contrastive Decoding (LCD) ACL 2024 Mitigating Idiom Inconsistency: A Multi-Semantic Contrastive Learning Method for Chinese Idiom Reading Comprehension AAAI 2024 Mitigating Label Noise on Graphs via Topological Sample Selection ICML 2024 Mitigating Motion Blur in Neural Radiance Fields with Events and Frames CVPR 2024 Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning CVPR 2024 Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange CVPR 2024 Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding CVPR 2024 Mitigating Object Hallucination via Concentric Causal Attention NeurIPS 2024 Mitigating Open-Vocabulary Caption Hallucinations EMNLP 2024 Mitigating Overconfidence in Out-of-Distribution Detection by Capturing Extreme Activations UAI 2024 Mitigating Oversmoothing Through Reverse Process of GNNs for Heterophilic Graphs ICML 2024 Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss ICML 2024 Mitigating Privacy Seesaw in Large Language Models: Augmented Privacy Neuron Editing via Activation Patching ACL 2024 Mitigating Reversal Curse in Large Language Models via Semantic-aware Permutation Training ACL 2024 Mitigating Reward Overoptimization via Lightweight Uncertainty Estimation NeurIPS 2024 Mitigating robust overfitting via self-residual-calibration regularization (Abstract Reprint) IJCAI 2024