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)

Real-to-Sim Grasp: Rethinking the Gap between Simulation and Real World in Grasp Detection CoRL 2024 Real-World Mobile Image Denoising Dataset with Efficient Baselines CVPR 2024 Real-world PTSD Recognition: A Cross-corpus and Cross-linguistic Evaluation Interspeech 2024 Reasons and Solutions for the Decline in Model Performance after Editing NeurIPS 2024 Reassessing Evaluation Functions in Algorithmic Recourse: An Empirical Study from a Human-Centered Perspective IJCAI 2024 REAVER: Real-time Earthquake Prediction with Attention-based Sliding-Window Spectrograms IJCAI 2024 ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods EMNLP 2024 ReCAP: Semantic Role Enhanced Caption Generation COLING 2024 ReCLIP: Refine Contrastive Language Image Pre-Training With Source Free Domain Adaptation WACV 2024 RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations ICLR 2024 Recommender Ecosystems: A Mechanism Design Perspective on Holistic Modeling and Optimization AAAI 2024 RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation ICLR 2024 Reconciling Predictive and Statistical Parity: A Causal Approach AAAI 2024 Reconfidencing LLMs from the Grouping Loss Perspective EMNLP 2024 Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation IJCAI 2024 ReConPatch: Contrastive Patch Representation Learning for Industrial Anomaly Detection WACV 2024 Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity NeurIPS 2024 Reconstruction Attacks on Machine Unlearning: Simple Models are Vulnerable NeurIPS 2024 Reconstruct Your Previous Conversations! Comprehensively Investigating Privacy Leakage Risks in Conversations with GPT Models EMNLP 2024 Recovering Complete Actions for Cross-dataset Skeleton Action Recognition NeurIPS 2024 Recovering document annotations for sentence-level bitext ACL 2024 Recurrent Early Exits for Federated Learning with Heterogeneous Clients ICML 2024 RecWizard: A Toolkit for Conversational Recommendation with Modular, Portable Models and Interactive User Interface AAAI 2024 RedCode: Risky Code Execution and Generation Benchmark for Code Agents NeurIPS 2024 Redefining Contributions: Shapley-Driven Federated Learning IJCAI 2024