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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1,828

2,498

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6,422

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1,666

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Papers (including subtopics)

Improving Long-Text Alignment for Text-to-Image Diffusion Models ICLR 2025 Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations EMNLP 2025 Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis AAAI 2025 Improving Neural Network Accuracy by Concurrently Training with a Twin Network ICLR 2025 Improving Noise Efficiency in Privacy-preserving Dataset Distillation ICCV 2025 Improving Out-of-Distribution Detection via Dynamic Covariance Calibration ICML 2025 Improving Out-of-Distribution Detection with Markov Logic Networks ICML 2025 Improving Personalized Search with Regularized Low-Rank Parameter Updates CVPR 2025 Improving Pre-trained Language Models with Knowledge Enhancement and Filtering Framework NAACL 2025 Improving Private Random Forest Prediction Using Matrix Representation AAAI 2025 Improving Prompt Generalization for Cross-prompt Essay Trait Scoring from the Scoring-invariance Perspective EMNLP 2025 Improving Reasoning Capabilities in Small Models through Mixture-of-layers Distillation with Stepwise Attention on Key Information EMNLP 2025 Improving SAM for Camouflaged Object Detection via Dual Stream Adapters ICCV 2025 Improving Shift Invariance in Convolutional Neural Networks with Translation Invariant Polyphase Sampling WACV 2025 Improving the Efficiency of Visually Augmented Language Models COLING 2025 Improving the Quality of Web-mined Parallel Corpora of Low-Resource Languages using Debiasing Heuristics EMNLP 2025 Improving the Scaling Laws of Synthetic Data with Deliberate Practice ICML 2025 Improving the Sparse Structure Learning of Spiking Neural Networks from the View of Compression Efficiency ICLR 2025 Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation CVPR 2025 Improving Uncertainty Estimation with Confidence-Aware Training Data WACV 2025 Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration CVPR 2025 Imputation-free Incomplete Multi-view Clustering via Knowledge Distillation IJCAI 2025 iN2V: Bringing Transductive Node Embeddings to Inductive Graphs ICML 2025 In Benchmarks We Trust ... Or Not? EMNLP 2025 IncogniText: Privacy-enhancing Conditional Text Anonymization via LLM-based Private Attribute Randomization IJCNLP 2025