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

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Papers (including subtopics)

NewbieML at SemEval-2024 Task 8: Ensemble Approach for Multidomain Machine-Generated Text Detection SemEval 2024 News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring EMNLP 2024 Nickel and Diming Your GAN: A Dual-Method Approach to Enhancing GAN Efficiency via Knowledge Distillation ECCV 2024 NightCC: Nighttime Color Constancy via Adaptive Channel Masking CVPR 2024 NightRain: Nighttime Video Deraining via Adaptive-Rain-Removal and Adaptive-Correction AAAI 2024 NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement AAAI 2024 Nimbus: Secure and Efficient Two-Party Inference for Transformers NeurIPS 2024 NLoPT: N-gram Enhanced Low-Rank Task Adaptive Pre-training for Efficient Language Model Adaption COLING 2024 NLP for Counterspeech against Hate: A Survey and How-To Guide NAACL 2024 NN-Defined Modulator: Reconfigurable and Portable Software Modulator on IoT Gateways NSDI 2024 nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training OSDI 2024 NodeMixup: Tackling Under-Reaching for Graph Neural Networks AAAI 2024 No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models NeurIPS 2024 No Free Lunch in LLM Watermarking: Trade-offs in Watermarking Design Choices NeurIPS 2024 No Head Left Behind – Multi-Head Alignment Distillation for Transformers AAAI 2024 Noise-Aware Differentially Private Regression via Meta-Learning NeurIPS 2024 Noise-aware Speech Enhancement using Diffusion Probabilistic Model Interspeech 2024 Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation AAAI 2024 Noisy Dual Mirror Descent: A Near Optimal Algorithm for Jointly-DP Convex Resource Allocation NeurIPS 2024 NoisyMix: Boosting Model Robustness to Common Corruptions AISTATS 2024 Noisy Neighbors: Efficient membership inference attacks against LLMs ACL 2024 NOLA: Compressing LoRA using Linear Combination of Random Basis ICLR 2024 NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention NeurIPS 2024 Non-Asymptotic Uncertainty Quantification in High-Dimensional Learning NeurIPS 2024 Non-exemplar Domain Incremental Object Detection via Learning Domain Bias AAAI 2024