conftrace_

Application Areas

34,437 papers (4 classified directly here)

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

Domain Adaptation (9,897) Efficient Computing (8,226) Data Augmentation (3,648) Fairness (3,574) Knowledge Distillation (3,219) Privacy (3,022) Domain Generalization (1,972) Model Compression (1,736) Risk Management (1,119) Model Merging (592) Recommender Systems (343) Information Retrieval (249) Text Classification (144) Text Processing (2)

Papers per year

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330

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1,828

2,498

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6,422

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Papers (including subtopics)

Improving Referring Ability for Biomedical Language Models EMNLP 2024 Improving Repository-level Code Search with Text Conversion NAACL 2024 Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts ACL 2024 Improving robustness to corruptions with multiplicative weight perturbations NeurIPS 2024 Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures ECCV 2024 Improving Robustness via Tilted Exponential Layer: A Communication-Theoretic Perspective AISTATS 2024 Improving self-training under distribution shifts via anchored confidence with theoretical guarantees NeurIPS 2024 Improving Self-training with Prototypical Learning for Source-Free Domain Adaptation on Clinical Text ACL 2024 Improving Single Domain-Generalized Object Detection: A Focus on Diversification and Alignment CVPR 2024 Improving Speech Recognition with Prompt-based Contextualized ASR and LLM-based Re-predictor Interspeech 2024 Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy EMNLP 2024 Improving Subgroup Robustness via Data Selection NeurIPS 2024 Improving the Effectiveness of Deep Generative Data WACV 2024 Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation CVPR 2024 Improving the Leaking of Augmentations in Data-Efficient GANs via Adaptive Negative Data Augmentation WACV 2024 Improving Token-Based World Models with Parallel Observation Prediction ICML 2024 Improving Transferability for Cross-Domain Trajectory Prediction via Neural Stochastic Differential Equation AAAI 2024 Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement CVPR 2024 Improving Transformers with Dynamically Composable Multi-Head Attention ICML 2024 Improving Visual Prompt Tuning by Gaussian Neighborhood Minimization for Long-Tailed Visual Recognition NeurIPS 2024 Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching IJCAI 2024 Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation ECCV 2024 IMS_medicALY at #SMM4H 2024: Detecting Impacts of Outdoor Spaces on Social Anxiety with Data Augmented Ensembling ACL 2024 IM-Unpack: Training and Inference with Arbitrarily Low Precision Integers ICML 2024 InceptionNeXt: When Inception Meets ConvNeXt CVPR 2024