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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1,020

1,828

2,498

3,411

3,854

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6,422

7,176

1,666

2000

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Papers (including subtopics)

Partial Binarization of Neural Networks for Budget-Aware Efficient Learning WACV 2024 PartialFormer: Modeling Part Instead of Whole for Machine Translation ACL 2024 Partial Transportability for Domain Generalization NeurIPS 2024 Pass-Efficient Algorithms for Graph Spectral Clustering (Student Abstract) AAAI 2024 Passengers' Safety Matters: Experiences of Deploying a Large-Scale Indoor Delivery Monitoring System NSDI 2024 Patch-Aware Sample Selection for Efficient Masked Image Modeling AAAI 2024 Patched Line Segment Learning for Vector Road Mapping AAAI 2024 PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks WACV 2024 Pauk at SemEval-2024 Task 4: A Neuro-Symbolic Method for Consistent Classification of Propaganda Techniques in Memes SemEval 2024 Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation AAAI 2024 PB-LLM: Partially Binarized Large Language Models ICLR 2024 PDAMeta: Meta-Learning Framework with Progressive Data Augmentation for Few-Shot Text Classification COLING 2024 PEACE: A Dataset of Pharmaceutical Care for Cancer Pain Analgesia Evaluation and Medication Decision NeurIPS 2024 Pearl: Personalizing Large Language Model Writing Assistants with Generation-Calibrated Retrievers EMNLP 2024 Pearls from Pebbles: Improved Confidence Functions for Auto-labeling NeurIPS 2024 PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation ICML 2024 PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment WACV 2024 PeerAiD: Improving Adversarial Distillation from a Specialized Peer Tutor CVPR 2024 PELA: Learning Parameter-Efficient Models with Low-Rank Approximation CVPR 2024 PeLK: Parameter-efficient Large Kernel ConvNets with Peripheral Convolution CVPR 2024 PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models NAACL 2024 PEM: Prototype-based Efficient MaskFormer for Image Segmentation CVPR 2024 PEMT: Multi-Task Correlation Guided Mixture-of-Experts Enables Parameter-Efficient Transfer Learning ACL 2024 PepRec: Progressive Enhancement of Prompting for Recommendation EMNLP 2024 PerAda: Parameter-Efficient Federated Learning Personalization with Generalization Guarantees CVPR 2024